Crop Prediction Using Machine Learning

Prof. Kiran Ghate; Vanshika Rajendra Khurpe; Vishwamitra S. Partole; Aniket A. Vasekar; Kunal D. Deshmukh

Crop Prediction Using Machine Learning

May 2023

Vol-9, Issue-3

Paper ID: 20631

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Machine Learning Crop prediction Agriculture Soil Environment Classification

Abstract

Predicting crop yields is crucial to agriculture. There are several variables at play when it comes to crop productivity. The goal of this research is to provide lowcost techniques for forecasting agricultural yields utilizing existing variables like irrigation, fertilizer, and temperature. The five-feature selection (FS) techniques described based on the literature survey in this article include sequential forward FS, sequential backward elimination FS, correlation-based FS, random forest variable importance, and the variance inflation factor algorithm. Machine learning methods are typically well adapted to a particular area, which makes them quite helpful to farmers in predicting agricultural yields. A novel FS method termed modified recursive feature removal can be used to enhance crop forecast (MRFE). The MRFE technique locates and prioritizes a dataset's most critical features with the use of a ranking algorithm

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Author Information

#	Name	Institute / Affiliation
1	Prof. Kiran Ghate	anantrao pawar college of engineering & researcha pune
2	Vanshika Rajendra Khurpe	anantrao pawar college of engineering & researcha pune
3	Vishwamitra S. Partole	anantrao pawar college of engineering & researcha pune
4	Aniket A. Vasekar	anantrao pawar college of engineering & researcha pune
5	Kunal D. Deshmukh	anantrao pawar college of engineering & researcha pune

How to Cite

Use the following formats to cite this article in your research.

APA Style

Ghate, Prof. Kiran, Khurpe, Vanshika Rajendra, Partole, Vishwamitra S., Vasekar, Aniket A., & Deshmukh, Kunal D. (2023). Crop Prediction Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 3222-3226.

MLA Style

Ghate, Prof. Kiran, et al. "Crop Prediction Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 3222-3226.

IEEE Style

Prof. Kiran Ghate, Vanshika Rajendra Khurpe, Vishwamitra S. Partole, Aniket A. Vasekar, and Kunal D. Deshmukh, "Crop Prediction Using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 3222-3226, 2023.

Vancouver Style

Ghate Prof. Kiran, Khurpe Vanshika Rajendra, Partole Vishwamitra S., Vasekar Aniket A., Deshmukh Kunal D.. Crop Prediction Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):3222-3226.

Harvard Style

Ghate, Prof. Kiran, Khurpe, Vanshika Rajendra, Partole, Vishwamitra S., Vasekar, Aniket A., & Deshmukh, Kunal D. (2023) 'Crop Prediction Using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 3222-3226.

Chicago Style

Ghate, Prof. Kiran, et al. "Crop Prediction Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3222-3226.

Turabian Style

Ghate, Prof. Kiran, et al. "Crop Prediction Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3222-3226.