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)
The incorporation of machine learning into systems for recommending crops and fertilizers is a revolutionary development in precision agriculture. The way the system works is by gathering and analyzing several factors, like crop kind, weather, and soil quality. The system creates correlations and patterns in the data by using machine learning models and algorithms. By using less extra fertilizer, this method not only improves crop quality and yield but also tackles sustainability issues. Furthermore, system adjusts to changing environmental conditions, providing real-time information. while farmers gain from higher efficiency and lower costs. Implementation of machine learning-driven crop and fertilizer recommendation systems represents a key step toward a more sustainable and productive agricultural future.
Keywords:
Crop Recommendation
Cite Article:
"Crop & Fertilizer Recommendation Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b915-b921, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404212.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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