Virtual Booth

The AI-D³ (AI-Driven Disease Detection and Control for Chili Cultivation)

project was developed as an artificial intelligence (AI)-based monitoring system aimed

at assessing plant health and detecting diseases in chili plants. One of the main

challenges in chili cultivation is the reliance on manual observation, which is time-

consuming and inconsistent, particularly when managing a large number of plants. This

may lead to delayed disease detection and inaccurate assessment of plant conditions.

The primary objective of this project is to design and develop an AI-based

system capable of detecting diseases in chili plants, evaluating plant health based on

visual features such as leaf discoloration and plant growth, and estimating crop yield

through the detection of chili fruits. The system operates by analyzing images of chili

plants, including leaves, stems, and fruits, using computer vision and machine learning

techniques.

The project implementation involves collecting a dataset of chili plant images

under various health conditions, training the AI model, and evaluating the system’s

performance based on the accuracy and consistency of disease detection and health

classification. The results demonstrate that the proposed system is capable of improving

monitoring efficiency and supporting more accurate decision-making in chili

cultivation management