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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53753

Enhancing Smallholder Agriculture through AI-Based Crop Advisory and Contract Farming Automation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53753

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53753

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

NK

Narendra Kolte1

PP

Pranav Pawar2

MS

Mohit Suradkar3

SW

Sahil Wadafale4

PSHT

Prof. S. H. Thengil

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Abstract

The Smart Farming Assistant is an Artificial Intelligence (AI)-driven platform designed to empower small and marginal farmers by offering intelligent crop advisory, contract farming opportunities, and real-time farm management support. The system utilizes soil testing reports and AI-based analysis, handled by the Crop Prediction Module, to recommend the most suitable crops and generate personalized farm schedules covering all stages from sowing to harvesting. A crucial element is the Contract Farming Module, which enables farmers to view and apply for contracts published by agro-based companies, ensuring assured markets and fair pricing. The platform also integrates the Government Scheme Information Module, real-time market intelligence, and provides an offline mode for users in low-connectivity rural areas. By focusing on digital intelligence, market access, and structured financial mechanisms, the Smart Farming Assistant bridges the gap between traditional farming and modern digital agriculture, enhancing profitability, efficiency, and sustainability for farmers

KEYWORDS

AI Contract Farming Crop Advisory Smart Farming Small Farmers Sustainability Broiler Chicken Agent-based simulation Agricultural supply chain Household income Rice cultivation High ecological value standard

Cite This Article

Narendra Kolte1, Pranav Pawar2, Mohit Suradkar3, Sahil Wadafale4, Prof. S. H. Thengil, "Enhancing Smallholder Agriculture through AI-Based Crop Advisory and Contract Farming Automation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53753

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Publication Date

11/10/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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4

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5

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

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No funding information available for this research.

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