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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) |
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| Paper Title: | SMART CROP AND FERTILIZER RECOMANDATION SYSTEM |
| Authors Name: | Rajat Manohar Thakare , Ajay Chandraprakash Binekar , Rohit Vinod Lokhande , Lalit Keshav Gaikwad , Mangesh Dilip Bute,Prof. Nupur Banode |
| Download E-Certificate: | Download |
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IJNRD_191750
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| Published Paper Id: | IJNRD2304421 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | India's economy, which is mostly dependent on agricultural products and yield growth, is an agricultural nation. An increasing area of study in crop production analysis is data mining. The ability to anticipate yield is a critical issue in agriculture. Any farmer is curious to know how much of a crop he can anticipate. Analyze the different factors that are associated, such as the location and the pH level used to calculate the soil's alkalinity. Location is used in conjunction with the use of third-party applications like APIs for weather and temperature, type of soil, nutrient value of the soil in that region, amount of rainfall in that region, and soil composition Percentages of nutrients like Nitrogen (N), Phosphorous (P), and Potassium (K) are also used. All of these data variables will be analyzed, and the data will be trained using different machine learning methods that are appropriate for building models. The system includes a model to be exact and accurate in predicting crop production and to provide the end user with appropriate recommendations regarding required fertilizer ratios based on atmospheric and soil factors of the land that enhance to boost crop yield and increase farmer income. |
| Keywords: | Machine Learning, prediction, Classification Technique. |
| Cite Article: | "SMART CROP AND FERTILIZER RECOMANDATION SYSTEM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e147-e151, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304421.pdf |
| Downloads: | 000118755 |
| 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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Published Paper ID:IJNRD2304421 Registration ID: 191750 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: e147-e151 Country: Umred, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304421 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304421 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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