Published Paper Details:

Agriculture is also encountering growing difficulties associated with climate change variability, crop diseases, inefficient resource management, and unpredictable market prices. It is evident that farmers are encountering difficulties from scattered sources of information, resulting in tardy decisions and economic losses. This article introduces Smart Agriculture Advisory Website, an Artificial Intelligence-assisted decision-support tool that integrates comprehensive and contemporary agricultural recommendations. It makes use of Convolutional Neural Networks (CNNs) for leaf image analysis to detect crop diseases, machine learning techniques for soil-based crop and fertilizer recommendations, and Long Short-Term (LSTM) models for predicting agricultural commodity prices. Combining soil information, weather patterns, crop health analysis, and market dynamics, this system provides customized day-by-day action plans through an interactive web-based interface. This innovative tool is envisioned to boost agricultural production, eliminate wastage of resources, and promote sustainable agricultural practices to ensure improved food security.