This paper is published in Volume-5, Issue-3, 2019
Area
Machine Learning
Author
Siddharth H. E.
Co-authors
Bharathi M., Navya G., Praveen Kumar L., Harshavardhana Doddamani
Org/Univ
S. J. C. Institute of Technology, Chikkaballapur, Karnataka, India
Pub. Date
14 May, 2019
Paper ID
V5I3-1358
Publisher
Keywords
Economical growth, Selecting the crops, Weather conditions, Soil classification, Marketing price, Crop advisor, Demand of the crop

Citationsacebook

IEEE
Siddharth H. E., Bharathi M., Navya G., Praveen Kumar L., Harshavardhana Doddamani. Machine learning techniques for selecting the crop to increase the yield, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Siddharth H. E., Bharathi M., Navya G., Praveen Kumar L., Harshavardhana Doddamani (2019). Machine learning techniques for selecting the crop to increase the yield. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Siddharth H. E., Bharathi M., Navya G., Praveen Kumar L., Harshavardhana Doddamani. "Machine learning techniques for selecting the crop to increase the yield." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

Agriculture is the backbone of our country for economic growth and it depends on selecting the crops, weather conditions, soil classification, marketing price, etc. In an economy where most of the produced food is from agriculture, selection of crops plays an important role. In light of the decreasing crop produce and shortage of food across the country which also has been a consequence of bad crop selection and thus, leading to increasing farmer suicides. So that we suggest one method which would help the farmers in selecting the crops in order to maximize the yield by summing up the analysis of all the affecting parameters. These affecting parameters can be economical, environmental as well as related to yield in nature. Selecting and maintaining suitable crops for maximum profit involves a sequence of tasks. These tasks should be carried out with basic knowledge and experience. The crop advisor expert system then suggests with a consultation with the farmer (through a graphical user interface) a suitable agricultural crop that can be grown in a land unit with reasoning.
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