Utilizing Cnn for Image Processing to Precisely Diagnose and Predict the Diseases Afflicting Plant Leaves

Abstract

The primary focus of this research endeavor is the growers and agricultural experts who work tirelessly to develop a hunger-free community. Unfortunately, they often do not receive the recognition they deserve for their vital work. This effort aims to reduce their stress and alleviate some of their common ailments. To achieve our project's objectives, we utilize several data science components, including machine learning, which eliminates the need for personal contacts. Machine learning can effectively address various complex real-world problems without the need for explicit programming. Additionally, evaluating essential information between previously saved and newly submitted data for analysis can be a time-consuming process. This research could serve as a launching pad for developing applications to address farming issues in today's fast-paced, technologically advanced society, where both traditional and environmentally sound principles coexist. This accomplishment will undoubtedly pave the way for a healthy farming community.