5 Reasons Indonesia's Palm Oil Industry Must Urgently Adopt IoT and AI Technologies

The palm oil industry is one of Indonesia’s largest economic pillars, contributing billions of dollars in foreign exchange annually. However, ironically, many processes within it still rely on manual assessments, such as sorting and grading Fresh Fruit Bunches (FFB). These manual processes are prone to errors. Technology serves as a differentiator here; IoT can positively impact the palm oil industry. Here are five compelling reasons why Indonesia’s palm oil industry must digitally transform: 1. Manual Methods Are Inaccurate and Dangerous Overripe or underripe fruit damages the quality of Crude Palm Oil (CPO), lowering its selling price and increasing machine maintenance costs. Therefore, fruit must be sorted before sale. Conventional FFB sorting relies on visual assessment and worker experience at the Loading Ramp, with an accuracy rate of only 75-82%, meaning nearly one in five fruits is misclassified. Moreover, the Loading Ramp is a high-risk zone for workplace accidents; placing humans at the forefront of sorting daily is a risk that technology can eliminate. 2. AI and Computer Vision Deliver High Accuracy AI and computer vision-based sorting systems can read FFB colour gradations in real time with over 95% accuracy, far surpassing human capability. This technology uses high-resolution cameras with 625nm wavelength (red spectrum) lighting, specifically designed to detect palm fruit ripeness even in poor lighting conditions.