Crop Sphere AI

Nimmy Prabha; Aaron Shajan; Monalisa P; G Nithin; Sanjai A

doi:10.38124/ijisrt/25apr1549

journal article May 08, 2025

Crop Sphere AI

Nimmy Prabha Aaron Shajan Monalisa P G Nithin Sanjai A

International Journal of Innovative Science and Research Technology pp. 2754-2761 · International Journal of Innovative Science and Research Technology

View at Publisher Save 10.38124/ijisrt/25apr1549

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.

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Published: May 08, 2025
Pages: 2754-2761

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Cite This Article

Nimmy Prabha, Aaron Shajan, Monalisa P, et al. (2025). Crop Sphere AI. International Journal of Innovative Science and Research Technology, 2754-2761. https://doi.org/10.38124/ijisrt/25apr1549

Crop Sphere AI

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