Description of Invention
Oil palm fresh fruit bunches (FFB) have great importance to Malaysia's economy. By utilising modern technologies such as AI, ripeness detection of FFB can be facilitated, which would in turn grow the economy of Malaysia and reduce deforestation. The goal of this project is to accurately perform ripeness detection of FFB using AI and to develop a web application to easily access the ripeness detection system. YOLOv7 is the main AI model used in this project. It can reach up to 0.94 precision (P). After the full training, the YOLOv7 model is exported and used in the web application.