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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38862

Crop recommendation system based on soil moisture sensor

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-

Subject:

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Paper ID:

IJSREM38862

Volume:

8 |

11 |

Nov 2024

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

PM

Patel Mahim

PH

Patel Harsh

Pv

Patel vruhan

APMDP

Asst. Prof. Ms. Dhara Parikh

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Abstract

This paper presents a crop recommendation system leveraging soil moisture sensors to optimize agricultural decision-making. The system collects real-time soil moisture data, which, along with environmental factors, is analyzed to identify suitable crops for specific soil conditions. By utilizing machine learning algorithms, the model can predict optimal crop , enhancing productivity and water resource management. The proposed system aims to support farmers in selecting crops that align with current soil moisture levels, thus promoting sustainable farming practices and resource efficiency. Preliminary results demonstrate the system’s effectiveness in improving crop yield predictions and aiding informed crop selection

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Cite This Article

Patel Mahim, Patel Harsh, Patel vruhan, Asst. Prof. Ms. Dhara Parikh, "Crop recommendation system based on soil moisture sensor," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

11/18/2024

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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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