Prabha, Nimmy and Shajan, Aaron and P, Monalisa and Nithin, G and A, Sanjai (2025) Crop Sphere AI. International Journal of Innovative Science and Research Technology, 10 (4): 25apr1549. pp. 2754-2761. ISSN 2456-2165

[thumbnail of IJISRT25APR1549.pdf] Text
IJISRT25APR1549.pdf - Published Version

Download (463kB)

Abstract

The Crop Sphere AI is an online platform built to help farmers detect plant diseases and obtain farm advice using an intelligent, interactive interface. Developed with Python, Django, HTML, CSS, JavaScript, and PostgreSQL, it has a crop disease detection mechanism based on deep learning using a Convolutional Neural Network (CNN) for image processing and an Artificial Neural Network (ANN) for precise prediction. The platform features a multilingual AI chatbot known as Crop Bot, which, through GROQ's Llama 3 API, gives responses in Malayalam, Tamil, Hindi, and English. It offers advice on how to take care of your crops based on their needs and helps fix problems caused by diseases. Users also get recommendations on treatment and are able to access Government Schemes from the Ministry of Agriculture. With secure authentication and an intuitive interface, Crop Sphere AI equips rural farmers with increased adaptability by improving disease diagnosis, crop care, and evidence-based agricultural decision-making to enhance productivity.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Editor IJISRT Publication
Date Deposited: 09 May 2025 11:09
Last Modified: 09 May 2025 11:09
URI: https://eprint.ijisrt.org/id/eprint/790

Actions (login required)

View Item
View Item