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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54071

AgriCare: An AI-Driven Integrated Platform for Smart Farming and Real-Time Weather Intelligence

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54071

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54071

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MG

Manasi Ghamande

YK

Yash Kulkarni

RJ

Rudrasen Jadhav

GS

Gaurav Sarwade

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Abstract

AgriCare is an innovative digital solution designed to revolutionize the agricultural sector in India and similar developing nations. Despite agriculture supporting over 60% of the population, the sector remains fragmented, with low technological adoption. AgriCare is a multi- functional platform that leverages Artificial Intelligence (AI), the Internet of Things (IoT), and modern web technologies to solve persistent issues such as poor disease detection, lack of real-time crop insights, and inefficient market access. The platform provides features such as disease detection via image upload, a live auction system, AI-based negotiation, smart crop planning, region-specific land preparation guidance, and soil report interpretation, and real-time weather advisory via Weather API integration. This paper describes the architecture, features, implementation, and impact of the AgriCare platform.

KEYWORDS

Agriculture Disease Detection AI Auction System Crop Rotation IoT Soil Report Smart Farming Land Preparation Bargain Chat

Cite This Article

Manasi Ghamande, Yash Kulkarni, Rudrasen Jadhav, Gaurav Sarwade, "AgriCare: An AI-Driven Integrated Platform for Smart Farming and Real-Time Weather Intelligence," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM54071

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Publication Date

11/18/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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