Smart Agrocraft: AI-Driven Agricultural Optimization Using Convolutional Neural Networks

Agriculture is a vital sector in the global economy, yet maintaining quality assurance in vegetable sales remains a significant challenge. This paper presents Smart AgroCraft, an AI-powered e-commerce platform integrating Convolutional Neural Networks (CNNs) to automate vegetable quality assessment. Farmers can upload images of vegetables, which are analyzed by the CNN model to classify their quality. The predicted quality score is stored in a MySQL database and displayed to customers, enhancing transparency and trust in the agricultural marketplace. This system reduces manual inspection efforts, ensures fair pricing, and improves efficiency in the supply chain. The platform is developed seamless user interaction and data management. CNN model achieves high accuracy in quality classification, contributing to agricultural digitalization and fair trade.