Deep Learning-Driven Plant Disease Detection and Custom Fertilizer Formulation

Abstract

Plant Disease Detection aims to revolutionize agricultural management by integrating an InceptionV3 for precise, real-time detection of plant diseases with an innovative hardware system for the custom preparation of fertilizers. Traditional farming practices, plagued by inefficient resource usage, generalized disease management, and suboptimal fertilization, often lead to reduced crop health and environmental damage. Our approach leverages InceptionV3 that achieves a 97.34% accuracy rate in diagnosing various plant diseases by analyzing field images. Our custom fertilizer formulation system is designed to automatically mix two liquid fertilizers into a single, properly proportioned solution, eliminating the need for manual handling. This automated approach not only ensures precise blending but also enhances safety by preventing direct contact with potentially harmful substances. By integrating this system into agricultural practices, we aim to improve both efficiency and safety in fertilizer application. This integrated solution not only optimizes resource management but also promotes sustainable farming practices by ensuring precise nutrient application and effective disease control. The results highlight the benefits of combining advanced technologies to address agricultural challenges, advocating for their broader implementation in modern farming systems to improve crop yield and quality.