Paper Key : IRJ************871
Author: Rohan Shinde
Date Published: 16 Nov 2024
Abstract
Agriculture is rapidly evolving with the integration of Machine Learning (ML) and Artificial Intelligence (AI) technologies. This project introduces a web-based platform using the MERN stack, along with Convolutional Neural Networks (CNN) and Natural Language Processing (NLP) algorithms, to offer farmers precise fertilizer recommendations and crop disease detection. The system processes both text and image inputs, identifying crop diseases using CNN for image processing and NLP for text-based symptom descriptions. Once diagnosed, the system suggests optimal fertilizer use based on crop conditions and soil types. Email API integration facilitates real-time notifications for timely recommendations. By leveraging AIML, this application aims to enhance agricultural productivity, reduce resource wastage, and promote sustainable farming practices
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