STORY 1150 — MENTOR

Everyone standing on that stage that day had a story of their own.

Some people come into our lives only for a short while, yet leave an impression that remains with us for the rest of our lives.

That is the story of Ir. Ong See Boon in my career journey.

I first met him when I was entering my third year of service at Morisem Palm Oil Mill B. At that time, he had just been appointed as the General Manager of the Engineering Group Department at the company level. Before joining our company, he had served with a prominent GLC in the country and brought with him decades of experience in the engineering profession.

From the very first day I met him, I was drawn to his character.

Not because of the title “Ir.” before his name, but because of his humility.

At that time, I was still a young engineer with big dreams. One of my ambitions was to become a Professional Engineer. Having a leader who had already achieved that goal made me feel as though I had found the right person to look up to as a mentor.

He never spoke to me like a boss.

Instead, he spoke like a father guiding his son.

Every word was delivered calmly. There was no raised voice. No ego. Yet every piece of advice carried a deep meaning.

Like rain falling onto soil that had been dry for a long time, his words slowly sank into my mind and became part of the foundation of my career.

However, our time working together did not last long.

Not long afterwards, he moved to another company. Despite that, we maintained our relationship. Whenever I faced challenges in my career, I would contact him to seek his advice and perspective.

One piece of advice from him that I have never forgotten was:

“Do not become an engineer who only understands machines. Learn to manage people as well. If engineering is a science, management is also a science—the science of managing people.”

At the time, I simply nodded.

But more than a decade later, when I found myself holding various leadership positions, managing teams, resolving conflicts and developing people and organizations, I finally understood the true meaning behind his words.

I realised that a great engineer is not simply someone who is good at solving technical problems.

A great engineer must also learn how to understand people.

Time continued to pass.

The demands of life and our respective careers eventually caused us to lose contact for many years.

Until last weekend.

After a small “mission to reconnect”, I finally managed to obtain his phone number. We arranged to meet in Shah Alam.

The moment I saw him walk in, I felt as though I had travelled back in time and become that young engineer who had once learned so much from him.

Today, he is 75 years old.

He still drives himself.

He is still active as a consultant.

He is still articulate.

His thinking is still sharp.

Although he underwent heart surgery almost a year ago, his spirit and enthusiasm for life remain remarkable.

We talked for several hours.

About the old days.

About how the engineering profession has changed.

About the challenges faced by the younger generation.

And about life.

Before we parted, he gave me another piece of advice—perhaps more valuable than all the engineering knowledge he had ever shared with me.

He said:

“No matter how far we go in our careers, and no matter how much wealth we accumulate, as we grow older, make sure our family is always by our side. Do not spend the remaining years of your life alone, without your family.”

The words were simple.

But the more I thought about them, the deeper their meaning became.

That very evening, he told me that he was planning to take his wife out for dinner to celebrate her birthday.

I smiled when I heard that.

Perhaps that is the true definition of a successful life.

Not merely the position we hold.

Not merely the title “Ir.”

Not merely the decades of experience we accumulate.

But when we reach the later chapters of our lives, there is still a hand holding ours.

There is still someone waiting for us to come home.

There are still children and family who give us a reason to smile.

I came to meet a mentor to remember the past.

But I went home carrying a new lesson about the future.

Thank you, Ir. Ong See Boon.

Some teachers teach us how to build a factory.

But great teachers teach us how to build a life.

May Ir. Ong See Boon and his wife be blessed with continued good health, happiness, and many more meaningful years together.

That is my story today.

STORY 1449 — FELLOWSHIP

This was my second encounter with Ir. Ahmad Rafidi, one of the very active leaders of IEM.

The first time I met him was earlier this year, during an interview session at the IEM Headquarters in Petaling Jaya, Selangor. When I saw him at the event, I immediately went over to greet him.

Interestingly, just like during our first meeting, the first thing he noticed was my new look. My hair is now much longer, with the grey and white strands fully showing. It was quite a different appearance from the person he met during the interview earlier this year.

We talked about many things.

I took the opportunity to share with him about my first book, My Story in Palm Oil Industry, which is expected to be printed next week. I explained why I decided to write the book and who I hope to reach through it — particularly young professionals and engineers working across different industries.

After some time, our conversation became even more interesting when one of his friends, who is also an IEM leader and works in the same company, joined us.

I also shared that I had recently completed my training on Registered Energy Manager with IEM Training Centre and had just started my DBA journey at Putra Business School (PBS), a business school under UPM.

At the same time, I was actually taking the opportunity to introduce him to an ODL mixed-mode PhD programme, which I believe could be relevant and suitable for professionals like him who are still actively contributing to their industries.

Alhamdulillah, over the past few months, I have had the opportunity to meet many remarkable figures from IEM and PBS. Each encounter has opened another window for me — bringing new perspectives, new knowledge, new friendships and, most importantly, a deeper understanding of the professional journey I am still exploring.

Sometimes, fellowship is not simply about meeting people.

It is about exchanging stories, sharing knowledge, opening doors for one another, and discovering that every person we meet may become part of another chapter in our journey.

That is my story today.

STORY 1148 — OCTOBER

 

Almost a year ago, after spending several months focusing on completing my report, the full report was finally submitted in early October 2025.

Amid the demands of daily work and other responsibilities, I had sacrificed several months to complete it. I went here and there, reaching out to friends and colleagues who could help me prepare all the required documents. Alhamdulillah, a few of my work contacts were kind enough to guide me through the various forms and requirements.

In December, I received a call for an interview. In January, I attended the interview with two panel members in Petaling Jaya. In February, the result came—and in April, I was finally registered with BEM.

A few months ago, BEM held a similar conferment ceremony. Unfortunately, I was out of the area and could not attend.

Today, when IEM organized a similar programme, I decided to make the effort to be there.

Seeing 68 other engineers receiving their recognition made me reflect on the journey that brought me here. Among them was a recipient who was 70 years old, walking onto the stage with pride. There were also recipients below the age of 30.

It reminded me of something simple:

There is no such thing as being too late. There is only whether we choose to pursue it or not.

Every journey has its own timing. Sometimes, we take longer because life demands our attention elsewhere. Sometimes, we need to pause, struggle, ask for help, and keep moving.

Today, I am grateful that I did not give up.

To everyone who prayed for me, guided me, encouraged me, and helped me along the way—thank you.

This achievement may carry my name, but the journey was never mine alone.

That is my story today.

STORY 1147 — LISTEN WITH CURIOSITY

One day, I accompanied Abu to the Lahad Datu Customs Office to discuss several matters with the Customs officers.

Once the date and time of the meeting had been confirmed, the two of us made our way to the Lahad Datu Customs Office.

Actually, I had never been to the Customs Office before, so the meeting was something I was looking forward to. On top of that, the building was newly constructed and had only started operating that same year. Seeing the building from the outside every day while returning from work had made me even more curious about what was inside.

As soon as I entered the lobby, I did what I usually do. I looked around and observed every corner that caught my attention.

I noticed the organizational chart, the department's motto, and eventually, a poster that caught my eye.

It said:

“Listen with curiosity,
Speak with honesty,
Act with integrity.”
— Roy T. Benner

Don't ask me who Roy T. Benner is.

I still don't know until today.

But those words immediately caught my attention.

I took a picture of the poster.

After the meeting was over, we returned to the factory.

Later, I edited the quotation using the background of the factory where I was working at that time. I printed it, put it up in front of my office door, and shared it with several engineers in the office.

Years passed, and that little moment became just another memory.

Then yesterday, while updating and organizing some folders on my laptop, I came across the picture again.

Funny how an old picture can bring back an old story.

So, I decided to share it again — this time with everyone, including my bosses.

Perhaps that is the beauty of curiosity.

Sometimes, we see something without knowing why it catches our attention. We take a picture, keep it somewhere, and continue with our lives.

Years later, we find it again and realize that those few simple words have stayed with us all along.

Listen with curiosity.
Speak with honesty.
Act with integrity.

That is my story today.

Assessment Rubrics Scale

 

Proposal: Accounting Standard for Environmental Damage Costs

If I were contracted by the Accounting Standards Board, I would propose developing an accounting standard for environmental damage costs for the following reasons:

(i) Why develop the accounting standard?
The standard is appropriate because environmental damage can create significant financial obligations for companies, such as costs for pollution cleanup, rehabilitation, restoration, and legal penalties. A specific standard would improve consistency, transparency, and comparability in how companies recognize and report these costs.

(ii) One key issue to be covered
The key issue would be when environmental damage costs should be recognized as a liability. For example, a company may need to recognize a provision when it has caused environmental damage and has a present obligation to undertake restoration or pay related costs, even if the actual payment will occur several years later.

(iii) How the Conceptual Framework can help
The Conceptual Framework can help determine whether an environmental obligation meets the definition of a liability and whether the related information is relevant and faithfully represented. It provides principles for deciding recognition, measurement, and disclosure, helping ensure that environmental costs are reflected appropriately in financial statements.

Summary

• (i) Why develop the standard?

  • Environmental damage can create significant costs and financial obligations.

  • A standard would improve consistency, transparency, and comparability.

• (ii) Key issue to cover:

  • Determine when environmental damage costs should be recognized as a liability.

  • This may include cleanup, restoration, and rehabilitation costs.

• (iii) Role of the Conceptual Framework:

  • Helps determine whether an environmental obligation meets the definition of a liability.

  • Guides recognition, measurement, and disclosure of environmental costs.

Simple Summary

Requirement	Answer
(i) Why develop the standard?	To improve consistency and transparency in reporting environmental damage costs.
(ii) Key issue	When should environmental damage costs be recognized as a liability?
(iii) Conceptual Framework	Helps determine whether an obligation qualifies as a liability and how it should be recognized, measured, and disclosed.

Current Ratio and Company Liquidity

If I were the CEO of a company, I would use the current ratio to assess whether the company has enough short-term assets to meet its short-term financial obligations.

The formula is:

Current Ratio = Current Assets ÷ Current Liabilities

For example, if my company has:

• Current Assets = RM10 million

• Current Liabilities = RM5 million

Then:

Current Ratio = RM10 million ÷ RM5 million = 2.0

This means the company has RM2 of current assets for every RM1 of current liabilities.

How I would interpret it as CEO

A higher current ratio generally indicates stronger short-term liquidity because the company has more current assets available to pay its debts. However, an excessively high ratio may also indicate that assets such as cash or inventory are not being used efficiently.

A lower current ratio indicates greater liquidity pressure. If the ratio falls below 1.0, current liabilities are greater than current assets, which may make it more difficult for the company to meet its short-term obligations.

As CEO, I would therefore not look at the current ratio alone. I would also examine cash flow, inventory turnover, accounts receivable collection, and industry benchmarks to understand the company's actual liquidity position.

In summary: The current ratio helps me determine whether my company has sufficient short-term resources to meet its short-term obligations and provides an early warning of potential liquidity problems.

EVALUATION OF THE POTENTIAL OF LOW ALTITUDE ECONOMY IN THE PALM OIL INDUSTRY

1.0 Introduction

The palm oil industry is a geographically extensive and operationally complex industry involving plantation management, harvesting, transportation, milling, processing and supply-chain activities. In many producing regions, plantations and mills are located across large areas, including remote and difficult-to-access locations. Consequently, companies face operational challenges related to field inspection, crop monitoring, transportation, infrastructure inspection, worker safety and environmental management.

The emergence of the Low Altitude Economy (LAE) provides an opportunity to address some of these challenges through the use of drones, Unmanned Aerial Vehicles (UAVs), artificial intelligence (AI), advanced sensors and digital platforms.

For the palm oil industry, LAE should not be viewed only as a method of transporting goods by drone. Its greater potential lies in combining aerial mobility, remote sensing, automation and data analytics to improve operational decision-making.

The potential relationship can be expressed as:

UAVs + Sensors + AI + Digital Platforms → Better Information → Faster Decisions → Higher Productivity and Safety

2.0 Current Operational Challenges in the Palm Oil Industry

The palm oil industry has several operational characteristics that make it suitable for LAE applications.

2.1 Large geographical areas

Oil palm plantations can cover thousands of hectares. Traditionally, field inspections require workers and management personnel to travel physically through plantation roads.

This creates several challenges:

• significant travelling time;

• fuel consumption;

• vehicle maintenance;

• difficult access during wet weather;

• delays in identifying field problems; and

• significant manpower requirements.

Aerial monitoring can provide a different approach by allowing large areas to be surveyed relatively quickly.

2.2 Crop monitoring

Conventional crop monitoring depends heavily on field workers and periodic inspections.

Important information includes:

• planting density;

• palm health;

• nutrient deficiency;

• pest attacks;

• disease;

• water stress;

• drainage conditions; and

• harvesting readiness.

The limitation of conventional inspection is that observations may be sample-based rather than comprehensive.

UAVs equipped with cameras and multispectral or thermal sensors can potentially collect information across much larger areas.

2.3 Harvesting and crop estimation

Fresh Fruit Bunches (FFB) are the main economic output of an oil palm plantation.

Management needs reliable information regarding:

• crop maturity;

• expected production;

• harvesting intervals;

• field productivity; and

• crop forecasting.

LAE technologies can support aerial imaging and AI-based analysis to improve crop estimation.

This can contribute to better coordination between:

Plantation → Harvesting → Collection → Transport → Palm Oil Mill

3.0 Operational Challenges that LAE Can Solve

3.1 Plantation inspection

One of the clearest applications of LAE is aerial plantation inspection.

Traditional approach

Field worker → Plantation road → Physical inspection → Report → Management decision

LAE approach

UAV → Aerial image → AI/data analysis → Digital report → Management decision

The LAE approach can reduce the time required to obtain information about large plantation areas.

Instead of relying entirely on physical inspection, management can use aerial information to identify areas requiring further investigation.

3.2 Early identification of pest and disease problems

Pest and disease detection is important because delayed intervention can result in production losses.

UAVs equipped with appropriate sensors can potentially identify abnormal vegetation patterns.

For example:

Sensor → Image → AI analysis → Abnormal area detected → Ground verification → Treatment

This creates a targeted intervention model.

Instead of treating an entire plantation uniformly, management can potentially focus resources on identified problem areas.

This supports the concept of precision agriculture.

3.3 Fertiliser optimisation

Fertiliser represents a significant operating cost in plantation management.

Aerial data can potentially identify differences in vegetation condition across plantation blocks.

The information can then support:

• targeted fertiliser application;

• identification of nutrient-deficient areas;

• monitoring of fertiliser effectiveness; and

• reduction of unnecessary application.

This creates an opportunity to move from:

Uniform application

towards:

Data-driven application.

The economic benefit would potentially come from improved input efficiency rather than simply reducing the quantity of fertiliser used.

3.4 Drainage and water management

Water management is particularly important in oil palm plantations.

Excessive water can cause:

• waterlogging;

• poor root conditions;

• reduced accessibility;

• soil deterioration; and

• harvesting difficulties.

UAVs can provide aerial information about:

• drainage networks;

• standing water;

• erosion;

• blocked drains; and

• changes in plantation conditions.

This allows maintenance teams to prioritise areas requiring intervention.

3.5 Plantation road inspection

Plantation roads are essential because they connect harvesting areas to collection points and mills.

Poor road conditions can affect:

• harvesting operations;

• FFB evacuation;

• vehicle productivity;

• fuel consumption; and

• delivery time.

UAVs can potentially identify:

• damaged roads;

• erosion;

• flooded sections;

• bridge problems; and

• inaccessible areas.

This can support predictive and prioritised road maintenance.

4.0 LAE Applications in Palm Oil Milling

LAE is not limited to plantations. It can also support palm oil mill operations.

4.1 Mill infrastructure inspection

UAVs can potentially inspect difficult-to-access infrastructure such as:

• mill roofs;

• chimneys;

• stacks;

• storage tanks;

• pipelines;

• transmission lines;

• cooling systems; and

• other elevated structures.

This can reduce the need for workers to physically access certain hazardous locations.

The potential safety improvement is particularly important in an industrial environment where working at height may involve significant risk.

4.2 Thermal inspection

Thermal cameras mounted on UAVs can potentially identify abnormal heat patterns.

Applications may include:

• electrical equipment;

• motors;

• transformers;

• boilers;

• steam systems;

• bearings; and

• other industrial equipment.

The principle is:

Thermal image → Abnormal temperature → Further inspection → Corrective maintenance

This supports condition-based and predictive maintenance.

4.3 Stockpile and inventory measurement

UAVs can potentially be used to estimate the volume of:

• biomass;

• empty fruit bunches;

• fibre;

• shell;

• compost;

• palm kernel;

• other materials.

Three-dimensional aerial mapping can provide estimates of stockpile volume without requiring workers to physically measure the entire pile.

This can improve:

• inventory management;

• production planning;

• material utilisation; and

• financial reporting.

5.0 LAE for Worker Safety

Worker safety represents another important area where LAE can create value.

Palm oil operations can involve:

• working at height;

• remote field locations;

• heavy equipment;

• confined areas;

• difficult terrain;

• electrical infrastructure; and

• industrial machinery.

UAVs can perform certain inspection activities before workers enter an area.

For example:

UAV inspection → Identify hazard → Risk assessment → Controlled human intervention

This follows an important safety principle:

Use technology to reduce unnecessary human exposure to hazardous environments.

Therefore, the economic value of LAE is not limited to productivity. It can also arise through risk reduction and improved occupational safety.

6.0 LAE for Environmental Management

Environmental management is increasingly important in the palm oil industry.

UAVs can support monitoring of:

• rivers;

• drainage systems;

• plantation boundaries;

• erosion;

• water bodies;

• conservation areas;

• illegal land clearing; and

• environmental incidents.

For example, aerial monitoring can provide evidence of changes in drainage or river conditions.

This can support faster investigation and corrective action.

The combination of:

UAV + GPS + imagery + GIS + AI

can create a digital environmental monitoring system.

7.0 New Business Opportunities Created by LAE

The greatest long-term potential of LAE is not only solving existing problems but also creating new business opportunities.

7.1 Drone-as-a-Service

Palm oil companies do not necessarily need to own large fleets of UAVs.

Specialised companies could provide:

Drone-as-a-Service (DaaS)

The plantation company pays for services such as:

• aerial mapping;

• crop monitoring;

• inspection;

• thermal imaging;

• surveying; and

• data analysis.

This changes the business model from asset ownership to service utilisation.

7.2 Precision Agriculture Services

Specialised LAE companies could provide integrated services:

UAV → Data → AI → Crop Diagnosis → Recommendation

This could become a new agricultural technology service industry.

The company would not simply sell drones. It would sell agricultural intelligence.

7.3 Predictive Maintenance Services

UAV companies could provide industrial inspection services to palm oil mills.

For example:

Drone inspection → Image analysis → Defect identification → Maintenance recommendation

This creates a new market for predictive maintenance and industrial analytics.

7.4 FFB Transportation Opportunities

In the longer term, UAVs or other low-altitude autonomous vehicles could potentially support transportation of selected materials.

However, the economic feasibility depends on:

• payload;

• distance;

• battery capacity;

• operating cost;

• terrain;

• regulations; and

• comparison with conventional trucks.

Therefore, drone-based FFB transportation should currently be considered a potential niche application rather than a direct replacement for conventional FFB transport.

8.0 Integration with Artificial Intelligence

The most significant opportunity may arise when LAE is combined with AI.

A UAV by itself provides limited economic value.

The greater value comes from:

UAV → Data → AI → Information → Decision → Action

For example:

1. UAV collects images of a plantation.

2. AI identifies abnormal palm conditions.

3. GIS identifies the exact location.

4. Management receives an automated report.

5. Field workers verify the problem.

6. Targeted intervention is performed.

7. Results are monitored using subsequent UAV flights.

This creates a closed-loop digital agriculture system.

9.0 Economic Impact on the Palm Oil Industry

The potential economic effects can be grouped into five areas.

Area	Potential LAE Contribution
Productivity	Faster monitoring and better resource allocation
Cost	Reduced inspection time and potentially lower operating costs
Safety	Reduced human exposure to hazardous locations
Sustainability	More targeted use of fertiliser, chemicals and resources
Decision-making	Faster and more accurate operational information

The impact should therefore be evaluated using measurable Key Performance Indicators (KPIs), such as:

• inspection time per hectare;

• cost per hectare;

• labour hours;

• fuel consumption;

• fertiliser utilisation;

• crop-loss percentage;

• road maintenance response time;

• equipment downtime;

• safety exposure hours; and

• maintenance cost.

This provides a stronger basis for a business case than simply stating that drones are technologically advanced.

10.0 Challenges to LAE Adoption in the Palm Oil Industry

Despite its potential, several challenges need to be addressed.

10.1 Initial investment

Investment may be required for:

• UAVs;

• sensors;

• software;

• AI platforms;

• communication systems;

• trained personnel; and

• maintenance.

10.2 Regulatory requirements

Drone operations are subject to aviation regulations, particularly for more complex or Beyond Visual Line of Sight (BVLOS) operations.

Companies therefore need appropriate approvals, operating procedures and trained personnel.

10.3 Data management

Large plantations can generate enormous quantities of aerial imagery.

Companies need systems for:

• data storage;

• processing;

• cybersecurity;

• GIS integration;

• AI analysis; and

• data governance.

10.4 Weather

Tropical weather can affect UAV operations.

Heavy:

• rain;

• wind;

• thunderstorms; and

• poor visibility

can reduce operational reliability.

10.5 Skills

Successful implementation requires employees who understand both:

Palm oil operations + digital technology.

The future plantation workforce may therefore require greater knowledge of:

• GIS;

• UAV operations;

• AI;

• data analytics; and

• digital agriculture.

11.0 Strategic Evaluation

The potential of LAE in the palm oil industry can be evaluated using three levels.

Level 1 – Immediate opportunity

Applications that are already relatively practical include:

• plantation mapping;

• crop monitoring;

• infrastructure inspection;

• road inspection;

• environmental monitoring;

• stockpile measurement.

Level 2 – Emerging opportunity

More advanced applications include:

• AI-based disease detection;

• precision agriculture;

• predictive maintenance;

• autonomous inspection;

• integrated plantation digital twins.

Level 3 – Long-term opportunity

Potential future applications include:

• autonomous cargo transportation;

• advanced eVTOL logistics;

• autonomous plantation operations;

• aerial passenger mobility;

• highly automated agricultural ecosystems.

The timing of these applications will depend on technological maturity, economics, regulation and operational reliability.

12.0 Proposed LAE Framework for the Palm Oil Industry

A suitable conceptual framework for the industry is:

LOW-ALTITUDE TECHNOLOGIES

Drones + UAVs + Sensors + AI + eVTOL

↓

DATA GENERATION

Aerial Images + Thermal Data + GIS + 3D Mapping

↓

DATA ANALYTICS

AI + Machine Learning + Predictive Analytics

↓

OPERATIONAL APPLICATIONS

Crop Monitoring + Infrastructure Inspection + Environmental Monitoring + Maintenance + Logistics

↓

BUSINESS OUTCOMES

Productivity + Cost Efficiency + Safety + Sustainability + Faster Decision-Making

↓

ECONOMIC TRANSFORMATION

Smart and Data-Driven Palm Oil Industry

13.0 Conclusion

The Low Altitude Economy has significant potential to transform the palm oil industry because of the industry's extensive geographical coverage, dependence on field inspection, transportation requirements and need for effective environmental and safety management.

The most immediate value of LAE is likely to come from data collection, monitoring and inspection rather than replacing conventional transportation. UAVs can provide rapid aerial information about plantations, roads, drainage systems, infrastructure and environmental conditions. When combined with AI, this information can support precision agriculture, predictive maintenance and faster operational decision-making.

LAE can also create new business opportunities through Drone-as-a-Service, precision agriculture services, industrial inspection, predictive maintenance and data analytics. In the longer term, autonomous cargo and eVTOL applications may create additional possibilities, although their commercial viability will depend on technology, regulation and operating economics.

Therefore, the potential of LAE in the palm oil industry can be summarised as:

LAE can transform the palm oil industry from a predominantly labour-intensive and ground-based operating model toward a more data-driven, automated and digitally integrated industry.

The most important economic opportunity is not simply “using drones”, but using low-altitude technologies to convert aerial data into better operational decisions, improved productivity, safer work practices and new business models.

LOW ALTITUDE ECONOMY (LAE): ECONOMIC TRANSFORMATION AND ENABLING TECHNOLOGIES

1.0 Introduction

The rapid development of digitalisation, artificial intelligence (AI), autonomous systems, advanced batteries and unmanned aircraft has created new opportunities for economic activities in low-altitude airspace. One emerging concept associated with this development is the Low Altitude Economy (LAE). LAE refers broadly to an economic ecosystem in which low-altitude airspace is utilised for commercial, industrial and public-service activities through technologies such as drones, Unmanned Aerial Vehicles (UAVs) and electric Vertical Take-Off and Landing (eVTOL) aircraft.

Although the exact altitude boundary differs between jurisdictions and applications, the concept generally concerns aviation activities conducted relatively close to the Earth's surface. The IEEE describes LAE in the context of economic activities and services conducted below approximately 1,000 metres above ground level, while some national frameworks use a broader altitude range. Therefore, LAE should be understood primarily as an emerging economic ecosystem rather than as an aviation sector defined by one universally accepted altitude limit.

The importance of LAE extends beyond the use of drones. It represents a potential transformation of transportation, logistics, agriculture, infrastructure management, emergency services and urban mobility. By integrating aviation technologies with artificial intelligence, telecommunications, digital platforms and energy systems, LAE can create new business models and industrial value chains.

This report defines the Low Altitude Economy, examines its relevance to economic transformation, compares LAE with traditional aviation and logistics, and discusses the major technologies driving its development.

2.0 Definition of Low Altitude Economy

The Low Altitude Economy can be defined as:

An emerging economic ecosystem in which low-altitude airspace is utilised by manned and unmanned aerial systems, supported by digital infrastructure, aviation services, energy systems, data technologies and regulatory frameworks to deliver transportation, logistics and other commercial and public services.

The definition contains several important elements.

2.1 Low-altitude airspace

The first element is the utilisation of low-altitude airspace as an economic resource. Historically, economic activities have been concentrated primarily on land and maritime environments, while aviation has mainly been associated with higher-altitude passenger and cargo transportation.

LAE introduces a new economic dimension by allowing low-altitude airspace to become an operational environment for:

• drone delivery;

• agricultural activities;

• infrastructure inspection;

• aerial surveying;

• emergency response;

• passenger mobility;

• tourism; and

• other specialised services.

Therefore, LAE can be viewed as the development of a three-dimensional economic space.

2.2 Aircraft and aerial platforms

LAE involves a range of aerial technologies, including:

• drones;

• UAVs;

• remotely piloted aircraft systems;

• autonomous aerial vehicles;

• cargo drones;

• agricultural drones; and

• eVTOL aircraft.

These technologies differ in size, payload, range, level of autonomy and intended application.

2.3 Digital and physical infrastructure

The development of LAE requires more than aircraft. It also requires supporting infrastructure such as:

• vertiports;

• drone landing and take-off stations;

• charging facilities;

• communication networks;

• navigation systems;

• unmanned traffic-management systems;

• maintenance facilities; and

• digital platforms.

Consequently, LAE should be considered an ecosystem rather than simply an aircraft industry.

3.0 Relevance of LAE to Economic Transformation

LAE is relevant to economic transformation because it introduces a new transportation and service layer into the economy. Traditional economic activities have generally relied on roads, railways, ports and conventional airports. LAE adds low-altitude airspace as another means of moving people, goods, information and services.

3.1 From two-dimensional to three-dimensional economic activity

Traditional transportation largely operates across geographical surfaces. For example, goods may move from a factory to a warehouse and subsequently to a customer through roads.

A drone-based system can potentially establish a more direct connection:

Distribution Centre → UAV → Customer

The ability to operate above physical transportation networks can reduce dependence on roads for selected applications.

However, LAE should not necessarily be viewed as a replacement for traditional transportation. Instead, it can complement existing transportation systems by providing an additional layer for specific applications.

3.2 Improvement in transportation efficiency

One potential economic benefit of LAE is reduced transportation time.

Ground transportation is affected by:

• traffic congestion;

• road conditions;

• geographical obstacles;

• road-network capacity; and

• driver availability.

Aerial transportation can potentially provide more direct routes between locations. This is particularly valuable for time-sensitive products and services such as:

• medical supplies;

• emergency equipment;

• spare parts;

• high-value goods;

• food delivery; and

• urgent documents.

Therefore, LAE may improve supply-chain responsiveness and reduce delivery latency.

3.3 Increased productivity

LAE can contribute to productivity by automating repetitive and labour-intensive activities.

For example, conventional agricultural inspection may require workers to physically inspect large areas. A UAV can cover the same area using aerial imaging and sensors.

The process can become:

UAV → Data Collection → AI Analysis → Problem Identification → Management Decision

This transforms the role of the aircraft from merely a transportation device into a mobile data-collection and decision-support platform.

3.4 Development of new industries

LAE can stimulate several supporting industries.

The emerging value chain may include:

Battery Manufacturing → Sensors → UAV Manufacturing → Software → AI → Communication Networks → Airspace Management → Charging Infrastructure → Operations → Data Analytics

Therefore, the economic impact of LAE extends beyond aircraft manufacturers.

It can create demand for:

• aerospace engineers;

• software developers;

• AI specialists;

• drone operators;

• maintenance technicians;

• battery engineers;

• data analysts;

• airspace-management professionals; and

• infrastructure developers.

4.0 Differences Between LAE and Traditional Aviation

Traditional aviation is primarily associated with the transportation of passengers and cargo using conventional aircraft between established airports.

LAE has a substantially broader operating model.

Dimension	Traditional Aviation	Low Altitude Economy
Main aircraft	Commercial aircraft and helicopters	Drones, UAVs and eVTOLs
Main activities	Passenger and cargo transportation	Logistics, inspection, agriculture, mobility, emergency services and other applications
Infrastructure	Airports, runways and terminals	Vertiports, drone stations and charging infrastructure
Operation	Predominantly human-piloted	Increasingly automated or autonomous
Network	Airport-to-airport	Potentially point-to-point and distributed
Technology	Conventional aviation systems	AI, sensors, autonomous systems and digital platforms
Business model	Airlines and airport services	Aviation, technology and service-platform ecosystems
Operating environment	Established aviation routes and airports	Low-altitude airspace and distributed operational locations

The key distinction is that LAE is not simply small-scale aviation. It represents the convergence of aviation with robotics, AI, telecommunications, logistics, energy and digital services.

5.0 Differences Between LAE and Traditional Logistics

Traditional logistics relies heavily on road, rail, maritime and conventional air transportation.

A typical logistics chain may be represented as:

Supplier → Truck → Warehouse → Distribution Centre → Truck → Customer

LAE introduces an additional transportation model:

Distribution Centre → Drone → Customer

Traditional logistics is primarily constrained by:

• road capacity;

• congestion;

• distance;

• fuel;

• driver availability; and

• physical infrastructure.

LAE introduces different constraints, including:

• battery capacity;

• payload;

• weather conditions;

• communication reliability;

• airspace availability;

• navigation;

• cybersecurity; and

• aviation regulations.

Therefore, LAE does not eliminate transportation constraints. Instead, it changes the nature of those constraints.

6.0 Key Technologies Driving LAE Growth

Several technologies are responsible for the development of the Low Altitude Economy.

6.1 Drones

Drones are currently among the most widely recognised technologies associated with LAE.

They can be used for:

• parcel delivery;

• food delivery;

• agricultural spraying;

• aerial photography;

• surveying;

• mapping;

• environmental monitoring;

• infrastructure inspection; and

• emergency response.

Their economic value is particularly significant when they can perform tasks faster, more safely or more efficiently than conventional methods.

6.2 Unmanned Aerial Vehicles (UAVs)

UAVs are aircraft that can operate without a human pilot physically located inside the aircraft.

Modern UAVs can incorporate:

• cameras;

• LiDAR;

• radar;

• GPS/GNSS;

• thermal sensors;

• AI-based image recognition; and

• autonomous navigation.

For example, UAVs can inspect power lines, pipelines, bridges and industrial facilities without requiring workers to physically access potentially hazardous locations.

The economic value therefore comes from both physical flight capability and data generation.

6.3 Electric Vertical Take-Off and Landing (eVTOL)

eVTOL aircraft represent another important technology in LAE.

An eVTOL aircraft uses electric propulsion and can take off and land vertically. This provides an operational advantage in locations where conventional runways are unavailable or impractical.

Potential applications include:

• urban air taxis;

• regional transportation;

• medical transportation;

• cargo transportation;

• emergency services; and

• tourism.

eVTOL technology is particularly relevant to the development of Advanced Air Mobility (AAM).

6.4 Artificial Intelligence

AI is an important enabling technology because future LAE operations are expected to become increasingly automated.

AI can support:

• autonomous navigation;

• obstacle detection;

• route optimisation;

• image analysis;

• predictive maintenance;

• traffic management;

• demand forecasting; and

• agricultural monitoring.

For example:

Drone + Camera + AI

can transform thousands of aerial images into information about crop health, infrastructure defects or environmental conditions.

Consequently, the economic value of LAE increasingly comes from the combination of:

Aircraft + Data + Artificial Intelligence

6.5 Communication Networks

Reliable communication is essential for large-scale UAV operations.

Aircraft may need to communicate with:

• ground-control stations;

• other aircraft;

• airspace-management systems;

• satellites;

• customers; and

• digital platforms.

Technologies such as 5G, 5G-Advanced and future 6G networks may support high-density aerial operations through low-latency communication and high-speed data transmission.

6.6 Unmanned Traffic Management

As the number of UAVs increases, managing aircraft within low-altitude airspace becomes increasingly important.

Unmanned Traffic Management (UTM) systems can support:

• flight planning;

• aircraft identification;

• route management;

• geofencing;

• conflict detection;

• airspace coordination; and

• communication between operators and aviation authorities.

UTM therefore provides an important foundation for the safe scaling of LAE.

6.7 Battery and Energy Technology

Battery technology is a major factor affecting electric UAV and eVTOL performance.

Important areas include:

• battery energy density;

• battery-management systems;

• charging speed;

• battery life;

• thermal management; and

• charging infrastructure.

Improved energy technology can increase:

• flight range;

• payload capacity;

• operational efficiency; and

• aircraft utilisation.

Therefore, LAE is also connected to the wider energy transition and electrification of transportation.

6.8 Sensors and Navigation Systems

Advanced sensors enable UAVs to operate safely and collect high-quality information.

These include:

• GPS/GNSS;

• cameras;

• LiDAR;

• radar;

• inertial measurement units;

• ultrasonic sensors; and

• thermal imaging systems.

The combination of sensors, AI and UAVs can produce accurate three-dimensional maps and support applications such as construction, mining, agriculture and infrastructure management.

7.0 Major Applications of LAE

7.1 Logistics and Delivery

Potential applications include:

• parcel delivery;

• food delivery;

• medical supplies;

• emergency equipment; and

• industrial spare parts.

7.2 Agriculture

UAVs can support:

• crop monitoring;

• fertiliser application;

• pesticide spraying;

• plantation mapping;

• pest detection; and

• crop-health analysis.

7.3 Infrastructure Inspection

UAVs can inspect:

• bridges;

• power transmission lines;

• pipelines;

• telecommunications towers;

• buildings; and

• industrial facilities.

This can reduce the need for workers to enter difficult or hazardous environments.

7.4 Emergency and Disaster Management

LAE technologies can support:

• search and rescue;

• disaster assessment;

• emergency supply delivery;

• firefighting support; and

• communication restoration.

7.5 Urban Mobility

eVTOL aircraft could potentially provide short-distance passenger transportation between:

• airports;

• business districts;

• urban centres; and

• regional destinations.

8.0 LAE as an Emerging Economic Ecosystem

A major characteristic of LAE is its cross-sector nature.

The ecosystem can be represented as follows:

Technology Providers

↓

UAV/eVTOL Manufacturers

↓

Digital and AI Platforms

↓

Communication Infrastructure

↓

Airspace Management

↓

Vertiports and Charging Infrastructure

↓

Operators

↓

Logistics and Mobility Services

↓

Consumers and Businesses

This demonstrates that LAE is not an isolated aviation industry. It integrates multiple sectors into one economic ecosystem.

9.0 Economic Benefits of LAE

The potential economic benefits include:

9.1 Lower transportation time

Direct aerial routes can reduce travel time for selected applications.

9.2 Improved productivity

Automation can reduce time spent on repetitive inspections and monitoring.

9.3 New business opportunities

Companies can develop new services such as:

• Drone-as-a-Service;

• Inspection-as-a-Service;

• Agriculture-as-a-Service;

• Delivery-as-a-Service; and

• Mobility-as-a-Service.

9.4 Regional connectivity

LAE may improve connectivity for remote communities where conventional infrastructure is expensive or difficult to develop.

9.5 New employment opportunities

New occupations may emerge in:

• UAV operations;

• software engineering;

• AI;

• maintenance;

• battery technology;

• airspace management; and

• data analytics.

10.0 Challenges and Limitations

Despite its potential, LAE faces several challenges.

10.1 Safety

Large-scale autonomous aircraft operations require robust safety systems to prevent:

• collisions;

• system failures;

• loss of communication;

• navigation errors; and

• uncontrolled aircraft.

The challenge becomes more complex when thousands of aircraft operate simultaneously.

10.2 Regulation

Governments must establish rules covering:

• aircraft certification;

• operator licensing;

• autonomous operations;

• Beyond Visual Line of Sight (BVLOS) operations;

• airspace management;

• insurance;

• liability;

• cybersecurity; and

• privacy.

10.3 Infrastructure

Large-scale LAE requires investment in:

• vertiports;

• charging stations;

• communication networks;

• UTM systems;

• maintenance facilities; and

• digital infrastructure.

10.4 Public Acceptance

Public concerns may include:

• noise;

• privacy;

• safety;

• visual impact;

• surveillance; and

• cybersecurity.

Therefore, technological feasibility alone is insufficient. Successful LAE development also requires social acceptance and appropriate governance.

11.0 Conceptual Framework

The relationship between technology and economic transformation can be summarised as follows:

Enabling Technologies

Drones + UAVs + eVTOL + AI + 5G/6G + Sensors + Batteries

↓

Supporting Infrastructure

Vertiports + Charging Systems + Digital Networks + UTM

↓

Economic Applications

Logistics + Agriculture + Inspection + Emergency Services + Tourism + Urban Mobility

↓

Economic Outcomes

Higher Productivity + Faster Transportation + New Services + New Markets + Employment + Regional Connectivity

↓

Economic Transformation

Integration of Aviation, Digital Technology, Logistics, Energy and Services into a Three-Dimensional Economic Ecosystem

This framework demonstrates that technology is the enabler, while economic transformation represents the broader outcome.

12.0 Discussion

The development of LAE demonstrates how technological innovation can create new economic spaces and business models. Traditional aviation has historically focused on transporting passengers and cargo between airports, while traditional logistics has concentrated on moving goods through established transportation networks.

LAE introduces a different paradigm by integrating low-altitude airspace into everyday economic activities.

Its significance is therefore not limited to the drone industry. Instead, LAE represents the convergence of:

Aviation + Robotics + Artificial Intelligence + Telecommunications + Logistics + Energy + Data

This convergence can generate new sources of productivity and economic value.

However, the economic transformation associated with LAE should not be viewed as automatic. The benefits depend on technological maturity, infrastructure investment, regulatory development, public acceptance, safety management and the development of viable business models.

Consequently, the future development of LAE will require cooperation among governments, aviation authorities, technology companies, logistics providers, infrastructure developers, researchers and consumers.

13.0 Conclusion

The Low Altitude Economy is an emerging economic ecosystem that uses low-altitude airspace for transportation, logistics, agriculture, infrastructure management, emergency response, tourism and other commercial and public services.

Unlike traditional aviation, LAE relies increasingly on smaller, automated and digitally connected aircraft operating in distributed environments. Unlike conventional logistics, it can utilise three-dimensional airspace to provide direct transportation routes and services.

The major technologies driving LAE include drones, UAVs, eVTOL aircraft, artificial intelligence, advanced communication networks, unmanned traffic management, batteries and advanced sensors.

The economic significance of LAE is therefore broader than the development of new aircraft. It has the potential to create new industries, business models, employment opportunities and infrastructure while improving transportation efficiency and regional connectivity.

Ultimately, LAE can be understood as a transition towards a three-dimensional digital economy, where low-altitude airspace becomes another productive economic layer alongside land, sea and conventional aviation.

The central relationship can therefore be expressed as:

Low-Altitude Airspace + Advanced Technology + Digital Infrastructure + New Business Models = Low Altitude Economy and Economic Transformation

References

Federal Aviation Administration (FAA). (2025). Advanced Air Mobility. U.S. Department of Transportation.

International Civil Aviation Organization (ICAO). (2025). Unmanned Aviation. ICAO.

IEEE Standards Association. (2025). IEEE 3776: Standard for Low-Altitude Economy Terminology. IEEE.

[Academic literature on Low Altitude Economy and eVTOL development should be added according to the citation style required by the university, such as APA 7th edition.]

AN INSIGHT FROM ASSOC. PROF. DR. IDA YASIN LOW ALTITUDE ECONOMY (LAE)

Malaysia’s LAE Framework

Malaysia is expected to unveil its blueprint for the Low-Altitude Economy (LAE) by the end of the year, providing a clear framework to regulate and support the emerging sector. The Civil Aviation Authority of Malaysia (CAAM) is drawing up the blueprint, and the Malaysian government hopes to launch it later this year.

It will provide a clear roadmap for the LAE and marks the beginning of a national agenda to explore opportunities in low-altitude aviation technologies, including unmanned aircraft systems (UAS), advanced air mobility (AAM), and air logistics.

What is the Low-Altitude Economy?

The LAE typically refers to economic activities that use low-level airspace, typically below 1,000 metres, which is much lower than the altitude at which commercial aircraft operate, at around 9,000 to 13,000 metres.

So instead of cars, trucks, and motorcycles moving goods on the ground, the LAE imagines part of that movement taking place through the air.

This includes:

• Delivery drones

• Drones used for agriculture

• Security and infrastructure inspection

• Mapping and surveying

• Emergency and medical services

• Piloted aircraft known as Electric Vertical Take-Off and Landing (eVTOL) aircraft, or “flying taxis”

Thus, the LAE is expected to improve productivity, strengthen service delivery, open up new economic opportunities, and benefit the people.

“This new layer of economic activity sits above roads and buildings but below conventional commercial airplane routes.”

Why Malaysia is Well Positioned for LAE

Several factors make Malaysia well-positioned to embrace the LAE.

First, its strategic location at the heart of ASEAN means Malaysia can serve as a testing ground and distribution hub for drone-based logistics across Southeast Asia.

Second, with the rollout of 5G nationwide, Malaysia's strong digital infrastructure enables drones to operate with real-time connectivity, supporting safe navigation and efficient data transfer.

Third, a growing technology ecosystem means universities, startups, and multinational firms in Malaysia are increasingly investing in robotics, AI, and aerospace technologies.

Global Development and Workforce Requirements

Globally, countries like China and South Korea have already invested heavily in LAE ecosystems.

Malaysia's entry into this space signals its ambition to become a regional hub for drone innovation and aerial logistics.

The LAE will generate demand for:

• Drone pilots

• AI engineers

• Aerospace technicians

• Regulatory experts

Therefore, universities play a critical role in training the next generation of talent.

Profile: Assoc. Prof. Dr. Ida Md Yasin

Assoc. Prof. Dr. Ida Md Yasin

• PhD: UKM

• Master of Economics: UKM

• Bachelor of Economics: IIUM

Assoc. Professor Dr. Ida is a Senior Lecturer at Putra Business School and currently serves as the Manager of Society Engagement, Alumni, and Endowment.

She also holds the roles of:

• Programme Coordinator for International Business

• Advisor to the Putra Student and Alumni Association (PSAA)

Main Message of the Article

The article essentially highlights three interconnected developments:

1. LAE as a new economic layer
Economic activity is increasingly moving from roads and conventional aviation into low-altitude airspace.

2. Malaysia's opportunity
Malaysia's ASEAN location, nationwide 5G infrastructure, universities, technology companies, and growing investment in AI, robotics and aerospace create conditions for developing an LAE ecosystem.

3. The urgent need for workforce upskilling
The emergence of LAE will create new occupations and skills requirements, particularly in AI, drones, aerospace, digital connectivity and regulation. Universities and educational institutions therefore have an important role in preparing the workforce.