International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Agrocare AI - Intelligent Crop Planning, Risk Analysis & Disease Detection Platform using Artificial Intelligence
| Author(s) | Mr. Ranjith S, Prof. Sasikala P, Mr. Praveen PR, Ms. Madhumitha S |
|---|---|
| Country | India |
| Abstract | AgroCare AI is an intelligent web-based agriculture platform designed to assist farmers in crop planning, cultivation monitoring, risk analysis, resource planning and disease detection using Artificial Intelligence and real-time data. The system provides a simple and accessible interface that supports informed decision-making throughout the crop lifecycle. A key feature of the platform is the Current Crop module, where users can add and manage crops, track daily farming activities, and monitor the current growth stage. After cultivation completion, the system generates profit and loss analysis along with revenue insights. AgroCare AI also provides daily market price tracking of crops, supported by visual analytics such as monthly bar graphs to help farmers understand price trends and plan sales effectively. The platform integrates location-based weather data, AI-driven risk assessment, yield prediction, resource planning, farm and image-based disease detection to deliver personalized recommendations and early alerts. The project demonstrates how artificial intelligence and modern web technologies can enhance productivity, reduce risks, and support smarter agricultural practices. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-21 |
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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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