Unhealthy Citrus Leaf Detection Using Machine Learning Techniques

The project presents a groundbreaking solution to the challenges faced by citrus agriculture in identifying and mitigating diseased plants. This application development initiative aims to harness the power of modern machine learning methodologies to accurately and efficiently detect unhealthy citrus leaves, thereby enabling timely intervention and safeguarding agricultural yield. Keywords: Unhealthy citrus leaves detection, CNN, OpenCV2, TensorFlow, Keras