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)
When growing crops, farmers face a number of difficulties, including erratic irrigation, subpar soil, etc. A significant portion of farmers, particularly in India, lack the knowledge necessary to choose the right crops and fertilizers. Additionally, both farmers and consumers suffer significant losses when crops fail due to disease. The use of Deep Learning has not been adequately investigated, despite recent advancements in the automated identification of certain diseases utilizing Machine Learning approaches. Such models are also difficult to employ due to the good quality data used in their learning, a absence of processing capacity, and the algorithms' weak generalization capabilities. In order to do this, we develop an open-source, user-friendly online application to address some of these problems.
Keywords:
Machine learning, CNN, ANN, Random Forest, RESNET
Cite Article:
"Intelligent Recommendation System For Agricultural Cultivation", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b41-b45, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305108.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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