Maximizing Mango Yields: Disease Prediction, Grade Classification, and Production Management Through Efficient Net Models and PHP-MySQL Integration

Mangoes are crucial to the fruit industry, and their health is essential. This research introduces an advanced but user-friendly system for identifying and the categorizing of mango leaf and their diseases. The system leverages image processing and machine learning, using the powerful EfficientNet B0 algorithm. It accurately detects diseases and provides tailored treatment recommendations and possible causes, enabling proactive disease management. Additionally, it assists farmers with breed recognition, customer support, and inventory management, empowering them for improved agricultural practices.