Paper Title
SMART CROP AND FERTILIZER RECOMANDATION SYSTEM
Article Identifiers
Authors
Rajat Manohar Thakare , Ajay Chandraprakash Binekar , Rohit Vinod Lokhande , Lalit Keshav Gaikwad , Mangesh Dilip Bute,Prof. Nupur Banode
Keywords
Machine Learning, prediction, Classification Technique.
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.
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How To Cite
"SMART CROP AND FERTILIZER RECOMANDATION SYSTEM", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e147-e151, April-2023, Available :https://ijnrd.org/papers/IJNRD2304421.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : e147-e151
Other Publication Details
Paper Reg. ID: IJNRD_191750
Published Paper Id: IJNRD2304421
Downloads: 000121183
Research Area: Engineering
Country: Umred, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304421.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304421
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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