Crop Yield Prediction using Machine Learning Techniques

被引:15
|
作者
Medar, Ramesh [1 ]
Rajpurohit, Vijay S. [1 ]
Shweta [1 ]
机构
[1] KLS GIT, Belagavi, India
关键词
Indian Agriculture; Machine Learning Techniques; Crop selection method;
D O I
10.1109/i2ct45611.2019.9033611
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Agriculture is the field which plays an important role in improving our countries economy. Agriculture is the one which gave birth to civilization. India is an agrarian country and its economy largely based upon crop productivity. Hence we can say that agriculture can be backbone of all business in our country. Selecting of every crop is very important in the agriculture planning. The selection of crops will depend upon the different parameters such as market price, production rate and the different government policies. Many changes are required in the agriculture field to improve changes in our Indian economy. We can improve agriculture by using machine learning techniques which are applied easily on farming sector. Along with all advances in the machines and technologies used in farming, useful and accurate information about different matters also plays a significant role in it. The concept of this paper is to implement the crop selection method so that this method helps in solving many agriculture and farmers problems. This improves our Indian economy by maximizing the yield rate of crop production.
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页数:5
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