KESAN (Kelapa Sawit Nusantara) provides computer-vision-based solutions for detecting oil palm fruit ripeness at both pre-harvest and post-harvest stages. The platform helps palm oil producers optimize harvest timing and improve quality assessment accuracy at collection points before fruit is sent for processing.
Funding
Funding not disclosed
Founders
Product
Problem
Oil palm fruit ripeness detection is often done manually, leading to inconsistent harvest timing and suboptimal fruit quality. Producers lack reliable, objective tools to assess maturity while fruit is still on the tree or at collection points, resulting in lower-quality yields and inefficient processing.
Solution
KESAN (Kelapa Sawit Nusantara) offers a computer-vision-based platform that detects oil palm fruit ripeness at two critical stages: pre-harvest, while fruit is still on the tree, and post-harvest, at the collection point (TPH) before transport to processing facilities. The system enables earlier harvest anticipation by identifying ripeness levels directly on the tree, supporting optimal harvest timing. For post-harvest operations, it improves accuracy in classifying fruit maturity at collection hubs, ensuring only properly ripened fruit proceeds to the processing center. This dual-stage approach helps producers standardize quality control and reduce losses from premature or overripe harvests.
Target Audience
Primary customers are oil palm plantation operators, harvest managers, and palm oil processing facilities in Southeast Asia that need objective ripeness assessment to improve harvest timing and fruit quality control.
Features
- Pre-harvest ripeness detection using computer vision to assess fruit maturity while still on the tree
- Post-harvest ripeness classification at collection points (TPH) to verify fruit quality before processing
- Early harvest anticipation capability that supports planning and timing of harvest operations
- Quality-focused workflow designed to optimize palm oil yield and processing efficiency