Volume & Issue no: Volume 8, Issue 3, May - June 2019
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Title: |
Prediction of crop yeild |
Author Name: |
Dinesh A. Kulkarni, Shriya S. Deshmukh, Nikita S. Bhagwat |
Abstract: |
Abstract: Agriculture helps to meet the basic needs of
human and their civilization by providing food, clothing,
shelters, medicine and recreation. Hence, agriculture is
the most important enterprise in the world. We proposed
this system to make a little bit contribution in making
Indian farming as technical farming using scientific
methods in farming such as Internet of things and
Machine Learning. This system will suggest the crop
which is suitable for cultivation based on the geographic
area and climatic conditions by using sensors. In this
paper we predict the crop which is suitable for cultivation
based on three parameters such as temperature, humidity
and moisture. We use sensors to collect data. For
prediction we use Random Forest and K-means algorithm
and result will be seen on android application.
Keywords: Climate, Sensors, crop production, prediction,
Internet of Things , Machine Learning, Random Forest
Algorithm, K-means. |
Cite this article: |
Dinesh A. Kulkarni, Shriya S. Deshmukh, Nikita S. Bhagwat , "
Prediction of crop yeild" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 8, Issue 3, May - June 2019 , pp.
031-033 , ISSN 2278-6856.
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