Proactive Crop Supervision with Machine Learning Algorithms for Yield Improvement
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Kusum Lata , Sajidullah S. Khan|
|DOI : 10.14445/22312803/IJCTT-V68I4P104|
How to Cite?
Kusum Lata , Sajidullah S. Khan, "Proactive Crop Supervision with Machine Learning Algorithms for Yield Improvement," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 14-20, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P104
Machine learning is the revolutionary approach to solve the complex task in order to obtain the optimal preferred results. In the internet age large amount data is available to analyze and transform it to useful information. This analysis of this data is possible by applying machine leaning algorithms to create the relations between different data volumes. Here in this paper we will discuss the available machine leaning algorithms which can be implemented to improve the crop yield prediction with the help of agricultural data sets. This will enable the farmers and governments to get the preferred output which will further boost the Indian economy.
Machine learning, Crop, SVM, Classification and regression.
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