Predict food (Fruits and Vegetables) images using Python

Guide for vegetable farmers to integrate pollinator management through beekeeping, habitat creation & integrated crop pollination. Includes economic models, implementation strategies, training resources & case studies showing 25-30% yield increases plus additional income from honey production and pollination services.

This project is focused on training a machine learning model to recognize various fruits and vegetables from images. The trained model can be used for applications such as inventory management, dietary tracking, or educational tools.