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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44407

AGRO TECH AI: Agriculture with Artificial Intelligence

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44407

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem44407

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

SS

Satyam Sinha

SR

Suman Rathore

KS

Khushi Sahu

PV

Piyush Vishwakarma

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Abstract

– The evolving field of disruptive technologies has recently gained significant interest in various industries, including agriculture. The fourth industrial revolution has significantly impacted agriculture, with the application of artificial intelligence (AI) and machine learning (ML) reshaping the industry. This study reviews research advances in AI in the agricultural sector, focusing on its disruptive potential. The authors highlight the challenges urban populations face in developing countries during unpredictable global economic conditions. AI can optimize crop-related data, enhance crop production predictability, help farmers cultivate healthier crops, manage pests, monitor soil and growing conditions, analyse data, and manage food supply chain activities. AI can also help farmers choose the optimal time to plant seeds, offer weather forecasts, increase crop quality, and hasten product delivery. However, the use of AI in agriculture is limited due to its diverse impacts, ethical concerns, technological development, and ecological impacts. The research proposes adopting a differential approach to develop AI in agriculture, aiming for robustness, environmental value, and social desirableness, leading to greater acceptance and trust among farmers.

KEYWORDS

Artificial Intelligence(AI) Machine Learning(ML) Agriculture Disruptive Technologies Crop Management Soil Management

Cite This Article

Satyam Sinha, Suman Rathore, Khushi Sahu, Piyush Vishwakarma, "AGRO TECH AI: Agriculture with Artificial Intelligence," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/ijsrem44407

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Publication Date

4/12/2025

Peer Review Type

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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