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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37952

Smart-Agri Advisor: Data-Driven Crop Recommendations for Enhanced Productivity and Sustainability

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM37952

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM37952

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

SV

Sase Vedant

PP

Prasad Patil

SG

Sunny Gangurde

SC

Somesh Chaudhari

AM

Asmeeta Mali

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Abstract

In today’s farming, it’s important to grow crops well and use methods that are good for the environment to meet the rising need for food worldwide. This paper introduces “Smart-Agri Advisor,” a system that helps farmers choose the right crops by analysing real-time data about the environment, soil, and market trends. It looks at factors like Soil contents, temperature, humidity and rainfall, along with market demand, to help farmers make smart decisions. The system also uses IoT sensors to automate watering, manage resources better, and make farming more sustainable. This study looks at how well the Smart-Agri Advisor helps improve farming efficiency and matches farming methods with market needs.

KEYWORDS

Machine Learning NumPy scikit-Learn TensorFlow Keras etc.

Cite This Article

Sase Vedant, Prasad Patil, Sunny Gangurde, Somesh Chaudhari, Asmeeta Mali, "Smart-Agri Advisor: Data-Driven Crop Recommendations for Enhanced Productivity and Sustainability," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024. https://doi.org/10.55041/IJSREM37952

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Publication Date

10/14/2024

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Double-Blind Peer Review

Review Rounds: 2

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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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