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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: | Farmer assistant and crop recommendation system AgriMitra |
| Authors Name: | Vivek Raju Rajput , Ajinkya Deshmukh , Utkarsh Patil , Harshal Ushire , P.M. Chawan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_193342
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| Published Paper Id: | IJNRD2304728 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | In India, agriculture accounted for 18% of the GDP with about 42% of the workforce. The people involved in agriculture are high in percentage but their contribution to the economy is different. In today's world, people are getting more and more digitised. As a result, most people have smartphones and internet access. In rural areas people including farmers, shopkeepers and others are using these technologies to make their life easier. With this technological evolution, we have developed the farmer assistant to guide farmers such that they can improve their productivity and gain higher profits. We have developed a model that will suggest the appropriate crop to the farmer according to the conditions. The model will take into account all the soil quality parameters such as soil fertility which includes Nitrogen, potassium, Phosphorous value in soil. Also, the model will give the result according to the weather condition such as temperature, humidity, rainfall. This will give a huge benefit to the farmer .Also there is a selling platform for the farmer where farmer can upload the advertisement on how much crop product he has and how much rate he expects. The buyer will then see the advertisement and he can contact the farmer for the product to finalise the deal. |
| Keywords: | : Technology, Profit, Farmer, Cost, Machine Learning, Model, Ensemble Learning, Bagging, Boosting, Voting, Stacking |
| Cite Article: | "Farmer assistant and crop recommendation system AgriMitra", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.h216-h221, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304728.pdf |
| Downloads: | 000118759 |
| 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:IJNRD2304728 Registration ID: 193342 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: h216-h221 Country: Mumbai , Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304728 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304728 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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