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)
Crop recommendation is a crucial aspect of
agriculture, aiding farmers in making informed decisions for
optimal yield and profitability. The comparative study of five
machine learning algorithms—Logistic Regression, One-vs-
All, Decision Trees, Bagging Classifier, and Random Forest—
for crop recommendation. The study highlights the
significance of crop recommendation in addressing the
challenges faced by farmers, such as uncertain weather
conditions, soil variability, and market demands. By
leveraging machine learning techniques, accurate and efficient
crop predictions can be made, aiding farmers in selecting the
most suitable crops for their specific conditions. These
findings offer insights into the suitability of different machine
learning algorithms for crop recommendation. Agricultural
stakeholders can leverage this knowledge to make informed
decisions regarding the adoption of suitable algorithms for
developing efficient crop recommendation systems using the
website.
"Food classification using Deep learning ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.c160-c165, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402217.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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