The technology is a combination of system and suitable hardware for an artificial intelligence (AI) based image processing for detecting oil palm FFB ripeness, achieving high-accuracy geo-tagging, and efficient data management. The manual harvesting of oil palm fresh fruit bunches (FFB) is labour-intensive, prone to human error, and inefficient due to inconsistent ripeness assessments, labour shortages, and the challenges of inspecting dense canopies. Traditional methods rely on visual inspection, leading to suboptimal harvest timing, reduced oil yield, and increased operational costs.
Main researcher: Dr. Ahmad Syazwan Ramli
E-mail: ahmad.syazwan@mpob.gov.my