EARLY DISEASE DETECTION AND BANANA TREE HEALTH MONITERING SYSTEM USING MACHINE LEARNING

Abstract: In many tropical and subtropical areas, banana farming is an essential part of the agricultural economy. However, crop yield and quality are impacted by a number of diseases and environmental factors. In order to maintain plant health and increase productivity, early disease detection is essential. An AI and ML-based system for early disease detection and banana tree health monitoring is presented in this paper. To identify diseases and give farmers real-time feedback, the system makes use of deep learning and image processing techniques. To extract features and classify various banana leaf diseases, a convolutional neural network (CNN) model is used. The effectiveness of the suggested system in precisely identifying diseases and supporting decision-making for improved crop management is demonstrated by experimental results.

Keywords: Convolutional Neural Networks, AI, Machine Learning, Disease Detection, Banana Tree.