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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45152

Review of “Farm AI: A Comprehensive Web Application for Farmers”

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45152

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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

.AS

. Akshay Shetye

ASS

Atharva S Shetye

ASS

Atharva S. Salvi

AAP

Aditya A Pokale

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Abstract

Farmers face a range of challenges from predicting suitable crops to managing fertilizer usage and identifying crop diseases. FarmAi is a web-based AI-powered solution aimed at addressing these challenges by offering a crop prediction system, a fertilizer prediction system, and crop disease detection through image analysis. Using machine learning (ML) and artificial intelligence (AI) algorithms, FarmAi helps optimize farming decisions and increase productivity, providing farmers with actionable insights to improve their crop management processes. By leveraging AI, FarmAi reduces manual errors, enhances decision-making, and brings advanced technological benefits to farmers, thereby enabling smarter and more efficient farming.

KEYWORDS

AI Crop Prediction Fertilizer Optimization Image Analysis Web Application

Cite This Article

. Akshay Shetye, Atharva S Shetye, Atharva S. Salvi, Aditya A Pokale, "Review of “Farm AI: A Comprehensive Web Application for Farmers”," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025.

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Publication Date

4/19/2025

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Review Rounds: 2

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