Artificial Intelligence in Palm Oil Mills and Plantations

Neural Network

Neural Networks are series of algorithms that captures the relationship between various underlying variables and processes the data as a human brain does

Machine Learning

Machine Learning teaches a machine how to make inferences and decisions model based on sample data of past experience

Today's business world is changing with the adoption of Artificial Intelligence

In order to modernize industrial aspects, making it more productive and efficient, while increasing business growth and value.

Several businesses have already adopted AI and IoT as part of their processes and products. The convergence of AI and IoT can redefine the way that industries, businesses, and economies function.

AI-enabled IoT creates intelligent machines that simulate smart behavior and supports data-driven decision-making with minimal or no human interference.

Find Out More

Today's business world is changing with the adoption of Artificial Intelligence

In order to modernize industrial aspects, making it more productive and efficient, while increasing business growth and value.

Several businesses have already adopted AI and IoT as part of their processes and products. The convergence of AI and IoT can redefine the way that industries, businesses, and economies function.

AI-enabled IoT creates intelligent machines that simulate smart behavior and supports data-driven decision-making with minimal or no human interference.

Find Out More

ESG Commitment

eKomoditi’s ESG Statement

eKomoditi’s mission is to make Southeast Asia agriculture more sustainable through technology. Our pillars include maximizing production per hectare thereby reducing environmental impact, adding complete transparency of human labor management, and monitoring corporate governance through data to make sure they comply with regulatory standards.

ESG Report

Since the data delivered from the sensor can be analyzed with AI, businesses can make informed decisions.

Services

Automation can help substantially reduce human error problems in palm oil mill operations which can improve the reliability of the current manual sampling process which because it is not representative can result in incorrect process management decisions.

Automation technology can be used in CPO storage tanks so that mill operators can know the volume of CPO inside accurately and can also be used in temperature control to prevent the oil from freezing or overheating. In addition, the automation system can help measure the water and oil levels in the CST (Clarifier Settling Tank).

How AI Works in Palm Oil Mill

Palm oil mills must adopt and equip themselves with the latest technologies and innovations
specifically for process control based on automation

AI in Palm Oil Mill

Steam Flow Rate and Totalizer

Water Flow Rate and Totalizer

Drum Water Level Indication

Furnace Draft Level

Outlet Draft Level

Dust Collector Status

Forced Draught Fan Air Flow Status

Safety Locking Status

Secondary Air Fan Damper Status

Forced Draught Fan Static Pressure Status

Dearator Tank Water Level

Fuel Feeding Fan Static Pressure Status

Induced Draught Fan Static Pressure Status

Air Compressor Status

Chemical Dosing Pump Status

Forced Draught Fan Vibration Level

Induced Draught Fan Vibratin Level

Fuel Feeding Fan Vibration Level

Inlet Water PH Level

Oxygen Level

Fuel Gate Status

Smoke Density Level

Pressure Level

Safety Valve Blow Time

Super-Heater Temperature Status

Super-Heater Control Valve Status

Furnace Temperature Level

Fuel Gas Temperature Level

Total Dissolve Solid Level

Induced Draught Fan Damper Status

Palm oil sustainability starts with managing existing plantations at peak efficiency.

EPCS Application can be used to record data and enable real monitoring of some aspects of the problems that have the potential to cause losses

Products

Electronic Plantation Control System is an operations management software implemented in palm oil plantations aimed at increasing the amount of data available plantations.

The use of Information Communication Technology is set to achieve this by enabling information and knowledge about different phases (for example fertilization, pest management, harvesting, worker management, etc) and critical data to be delivered in an accurate, complete, concise and timely manner for decision making and analysis. The information provided by the system must be in user-friendly form, easy to access, cost-effective and well protected from unauthorized accesses.

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