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

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/37du66e3

Scribd : https://tinyurl.com/4u4a8z83

DOI : https://doi.org/10.38124/ijisrt/25apr1549

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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.

Keywords : Crop Disease Detection, Deep Learning, Convolutional Neural Networks, Artificial Neural Network, AI-Powered Chatbot, Multilingual Support, Treatment Recommendation, Smart Agriculture.

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