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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Crop Prediction And Weather Detection |
| Authors Name: | Shubhangi Bangar , Priti Sonawane , Apurva Bangane |
| Unique Id: | IJSDR2009076 |
| Published In: | Volume 5 Issue 9, September-2020 |
| Abstract: | Data mining is an appear field of research in Information Technology as well as in agriculture.Agrarian sector in India is facing rigorous problem to maximize the crop productivity. The present study target on the applications of data mining techniques in crop prediction in the face of meteorological change to help the farmer in taking decision for farming and achieving the expected economic return. The problem of crop prediction is a major problem that can be solved based on available data. Data Mining techniques are the good choices for this purpose. Different Data Mining techniques are used and valuate in agriculture for estimating the future year's crop production. The patterns of crop production in acclamation to the meteorological (rainfall, temperature, relative humidity, evaporation and sunshine) effect across the selected regions are being developed. Thus it will be beneficial if farmers could use the technique to predict the future crop productivity and consequently adopt alternative adaptive measures to maximize yield if the predictions fall below expectations and commercial viability.. The system will also help to take precaution against bad climate due to weather change. |
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| Cite Article: | "Crop Prediction And Weather Detection", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.464 - 465, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009076.pdf |
| Downloads: | 000337064 |
| Publication Details: | Published Paper ID: IJSDR2009076 Registration ID:192490 Published In: Volume 5 Issue 9, September-2020 DOI (Digital Object Identifier): Page No: 464 - 465 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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