Crop Prediction And Weather Detection

Shubhangi Bangar , Priti Sonawane , Apurva Bangane

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.

Published Paper   E-Certificate

"Crop Prediction And Weather Detection", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.464 - 465, September-2020, Available :https://ijsdr.org/papers/IJSDR2009076.pdf

Volume 5 Issue 9, September-2020

Pages : 464 - 465

Paper Reg. ID: IJSDR_192490

Published Paper Id: IJSDR2009076

Downloads: 000347165

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2009076

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2009076

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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