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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58745

AgroIntelli – Smart Agriculture Assistant Powered by AI

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58745

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58745

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

P.D

Prof .Kalyani Dahikar

MH

Mr.Piyush Hingankar

MDK

Mr. Dnyaneshwar Kate

MCG

Mr. Chetan Gangasagar

MVA

Mr. Vignesh Ajmire

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Abstract

Agriculture is a fundamental pillar of India’s economy, supporting the livelihood of a large portion of the population. However, farmers frequently encounter several challenges, including uncertain climatic conditions, limited access to timely agricultural information, unstable market prices, and reliance on intermediaries for selling their produce. These factors negatively impact productivity and reduce overall income stability. This paper reviews existing technological solutions in the agricultural domain and emphasizes the necessity for a comprehensive and integrated smart farming system. To address these challenges, AgroIntelli is introduced as an intelligent agriculture support platform powered by artificial intelligence. The system utilizes machine learning algorithms to assist farmers in making informed decisions related to crop selection, yield prediction, and fertilizer usage. It also incorporates real-time weather updates through external data sources to improve planning and reduce risks. In addition, the platform features a direct marketing system that connects farmers with consumers, eliminating the need for middlemen and improving profit margins. Through the evaluation of various research studies, this paper identifies the limitations of current systems, such as fragmented functionalities and lack of accessibility. AgroIntelli overcomes these issues by providing a unified, easy-to-use, and efficient solution. The proposed approach contributes to improving agricultural productivity, increasing farmer income, and encouraging sustainable farming practices using advanced digital technologies. .

KEYWORDS

C o m p u t a t i o n a l A g r o n o m y D a t a – C e n t r i c C r o p M o d e l i n g A I – E n a b l e d A g r o A d v i s o r y H a r v e s t O u t p u t P r e d i c t i o n M o d e l s C l i m a t e – A w a r e C u l t i v a t i o n S y s t e m s D i g i t a l A g r o E c o s y s t e m F a r m e r – C e n t r i c D e c i s i o n F r a m e w o r k D i r e c t F a r m – t o – B u y e r P l a t f o r m s T e c h – I n t e g r a t e d C u l t i v a t i o n P r a c t i c e s S u s t a i n a b l e A g r o I n n o v a t i o n

Cite This Article

Prof .Kalyani Dahikar, Mr.Piyush Hingankar, Mr. Dnyaneshwar Kate, Mr. Chetan Gangasagar, Mr. Vignesh Ajmire, "AgroIntelli – Smart Agriculture Assistant Powered by AI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58745

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Publication Date

6/2/2026

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Double-Blind Peer Review

Review Rounds: 2

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