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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM20329
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
Agriculture is the backbone of India as 50% of population in India depends on it, still it is one of the least paid occupations of India. Recent development in Information technology for agriculture field has become interesting research area. Machine learning can play a significant role in Agriculture field by increasing the crop yield production rate. Various regression algorithms can be used for predicting crop production. The aim is to develop extremely effective model for prediction of crop production with most minimal computational difficulties. By using machine learning algorithms, relative errors can be reduced which are caused by factors like weather parameters, area, pesticides, rainfall etc. The model can help farmers to know crop production in advance to plan and choose a crop that would give a better yield. (
KEYWORDS
Publication Date
4/4/2023
Peer Review Type
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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