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IJNRD
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
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Impact Factor : 8.76

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Paper Title: Crop and Fertilizer Recommendation System
Authors Name: N.V.S.S.POORNIMA , Dr. P.HIMA KEERTHI , K.TEJA SRI SAI , P.AKHILA , P.S.L.N.SAI SIREESHA
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IJNRD_189197
Published Paper Id: IJNRD2303270
Published In: Volume 8 Issue 3, March-2023
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Abstract: Crop recommendation and fertilizer recommendation are key components of modern agriculture that are crucial for improving crop yield, soil fertility, and sustainability. In this study, we reviewed the existing strategies for crop and fertilizer recommendations, as well as the challenges faced in implementing these recommendations. We also examined recent advances in crop and fertilizer management techniques, including precision agriculture, integrated pest management, and soil health management. Precision agriculture involves the use of technology to optimize crop production, such as sensors and mapping tools that help farmers identify areas of the field that need more or less fertilizer or irrigation. Integrated pest management involves using multiple approaches, such as crop rotation and biological controls, to manage pests and minimize the use of pesticides. Soil health management focuses on improving soil quality through practices such as cover cropping and reduced tillage, which can lead to better crop yields and soil health over the long term. But now-a-days, food production and prediction is getting depleted due to unnatural climatic changes, which will adversely affect the economy of farmers by getting a poor yield and also help the farmers to remain less familiar in forecasting the future crops for this project we use 5 different algorithms they are XG Boost, Decision Tree, AdaBoost, Support vector machine and Random Forest Apart from these algorithms Decision Tree algorithms gives better accuracy compared to remaining algorithms.
Keywords: Crop recommendation, Fertilizer recommendation, Machine Learning, Python, Pillow, Flask
Cite Article: "Crop and Fertilizer Recommendation System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c627-c632, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303270.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
Publication Details: Published Paper ID:IJNRD2303270
Registration ID: 189197
Published In: Volume 8 Issue 3, March-2023
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Page No: c627-c632
Country: Visakhapatnam, Andhra Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303270
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303270
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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