Paper Title
CROP RECOMMENDATION SYSTEM
Article Identifiers
Authors
Keshav Kumar , Mayank Chaudhary , Manish Sharma , Khushboo Agarwal , Lakshya Kumar
Keywords
Abstract
Agriculture is one of the oldest and best professions in India. In today's technology-centric world, farmers face many problems when using traditional farming methods. Precision farming is a modern method compared to traditional cultivation methods. Area, precipitation, temperature, area, etc. We estimate the appropriate crop to help farmers estimate the crop before cutting as they have planted the final crop. This method can provide a better understanding and help farmers. In this article, we used various techniques such as ridge regression and classifiers. We use different data from these models to get better accuracy.
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How To Cite (APA)
Keshav Kumar, Mayank Chaudhary, Manish Sharma, Khushboo Agarwal, & Lakshya Kumar (May-2023). CROP RECOMMENDATION SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h136-h142. https://ijnrd.org/papers/IJNRD2305717.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : h136-h142
Other Publication Details
Paper Reg. ID: IJNRD_196924
Published Paper Id: IJNRD2305717
Downloads: 000121979
Research Area: Engineering
Country: Ghaziabad, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305717.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305717
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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