Sick Leaves, Smart Solutions: Deep Learning in Plant Care

Agriculture is often referred to as the backbone of the Indian economy, with around 70% of the population working in farming and related industries. This deep connection underscores the importance of supporting plant health for sustainable agricultural practices. However, one of the significant challenges we face is the prevalence of plant diseases, which can lead to diminished crop yields and financial losses for farmers. Diagnosing these diseases through traditional visual inspection can be difficult and often unreliable. This project aims to improve early disease detection in plants by leveraging the power of convolutional neural networks (CNNs). In this paper, we will explore various classification techniques used to identify plant diseases, highlighting how deep learning can revolutionize our approach to agriculture and contribute to healthier, more robust crops.