Crop Cultivation Prediction Using Deep Learning Algorithm

  • Alagurajan. M, Vijayakumaran. C

Abstract

The Agriculture performs a dominant position in the increase of the nation economy. Weather condition and different surrounding changes had end up a principal risk in the cultivation field. ML is an integral method for finding realistic and positive options for this method. Crop production cultivation includes finding the production of the crop from reachable historic accessible facts like clime parameter, soil parameter and ancient crop production. This project mainly focus on finding the production of the crop depends totally on the current facts by means of the use of Random Forest, SVM and CNN algorithm. Real statistics of India had been used for constructing the fashions and the fashions had been examined with some items. These forecasting will be a guide to the farmer to finding the production of the crop earlier than yielding onto the agriculture land. To find the crop production in upcoming precisely RF, a most effective and well defined supervised computing algorithm gaining knowledge of algorithm is used.

Published
2020-06-02
How to Cite
Alagurajan. M, Vijayakumaran. C. (2020). Crop Cultivation Prediction Using Deep Learning Algorithm. International Journal of Advanced Science and Technology, 29(9s), 6833 - 6840. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/20627