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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006115

Page Number

841-847

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Title

Yield Production Identification Based on Rainfall Data Analysis.

ISSN

2349-5162

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"Yield Production Identification Based on Rainfall Data Analysis. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.841-847, June-2020, Available :http://www.jetir.org/papers/JETIR2006115.pdf

Abstract

Rainfall depends on various factors such as temperature, humidity, cloudiness, wind speed, etc. Rainfall prediction is a major concern for many fields like the meteorological department, agriculture department, etc which is directly associated with the economy and sustenance of human life. In the proposed system we are going to predict the rainfall and after this prediction, estimate the yield, solutions for fertilizing or growing alternative crops. A further step in the process also consists of finding out if the crop has certain kind of disease or not. Agriculture study is growing rapidly, due to innovation in technologies and upcoming challenges. It has been proven to play a crucial role in improving the overall growth rate of any country. Agriculture matters a lot in economic growth. Very wide work is going on from several years to improve productivity by using data mining & evolutionary techniques. The losses incurred in crop production are a large issue for agriculture as they come in the way of sufficient produce. There is a very limited analysis performed on the loss of crops, due to the changing environmental conditions. The correct prediction of loss in crops helps the farmer to apply suitable actions to overcome these issues and maintain the expected production. As agriculture matters a lot in economic growth, to overcome this issue, we have used the data mining approach i.e classification. The objective of the system is to calculate the produce of a particular crop, based on the rainfall patterns. Data mining techniques help in agriculture for the exclusion of manual jobs and for decision making which enables to decrease the production cost and improve productivity.

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"Yield Production Identification Based on Rainfall Data Analysis. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp841-847, June-2020, Available at : http://www.jetir.org/papers/JETIR2006115.pdf

Publication Details

Published Paper ID: JETIR2006115
Registration ID: 234122
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 841-847
ISSN Number: 2349-5162

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Cite This Article

"Yield Production Identification Based on Rainfall Data Analysis. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp841-847, June-2020, Available at : http://www.jetir.org/papers/JETIR2006115.pdf




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