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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29441

Farming Equipment Rental System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29441

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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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

MHS

Mr.Sunil H. Sangale

KNP

Khushiya Narendra Pawar

UPS

Unnati Prashant Salunke

KPB

Kunal Prabhakar Bachhav

AMS

Aishwarya Mangesh Sahane

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Abstract

As everyone is aware, agriculture is essential to any nation. It provides many people with employment options. The agricultural sector has recently seen a variety of new innovations carried out. In agriculture, a variety of machines are employed that can complete tasks much more quickly than humans. In other words, machinery is crucial to agriculture, but not all farmers can afford it due to its high cost. Accordingly, farmers will be able to rent farming equipment to other farmers on the planned website, depending on their needs. Due to the high cost of farming machinery, which not everyone can afford, there is an increasing need for this solution.Database system, crop prediction, and crop price prediction are all included on this website.

KEYWORDS

Farmer Agriculture Rental Equipment Python Machine Learning

Cite This Article

Mr.Sunil H. Sangale, Khushiya Narendra Pawar, Unnati Prashant Salunke, Kunal Prabhakar Bachhav, Aishwarya Mangesh Sahane, "Farming Equipment Rental System," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024.

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Publication Date

12/31/45369

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Double-Blind Peer Review

Review Rounds: 2

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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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