Smart Farming Crop Recommendations Fertilizer Advice and Diseases Detection

Leveraging advanced technologies such as Machine Learning and Deep Learning, this research aims to transform agriculture. A machine learning recommendation model is proposed to assist farmers in selecting optimal crops and fertilizer strategies based on soil and weather conditions. By integrating location-specific data from third-party APIs, including weather and soil nutrient content, decision-making accuracy is enhanced. Additionally, a data-driven mathematical model for plant disease detection using deep learning techniques is proposed, achieving high precision and efficiency. This research provides farmers with tools to enhance crop yields, profitability, and land sustainability.