INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract— India is mostly an agricultural country. Agriculture is essential to both the survival of humans and the Indian economy. Agriculture employs a sizable portion of the workforce as well. 70% of people living in rural India depend on agriculture for their livelihood. Crop output forecasting is one of the most difficult and soughtafter responsibilities that any government can carry out. Each farmer wants to know how much crop production they might expect in the near future. Large datasets may be mined for accuracy and previously unknown patterns or information using machine learning techniques. In this study, machine learning (ML) was used to select the optimum crop by considering a range of inputs, including temperature, humidity, pH level, etc
Keywords:
crop, forcasting, temperature ,humidity, ph level.
Cite Article:
"Crop prediction using machine learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.c652-c663, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403282.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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