Prediction of Crop Yield Using LS-SVM

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Dr. Kamaljit Kaur, Rupinder Kaur


Agriculture sector is the backbone of Indian economy. Yield prediction of crop is very important problem in agriculture field. Predicting the yield is very popular among farmer nowadays, which especially contributes to the correct choice of crop for growing. Earlier, crop production was implemented by considering the farmer's experience on an appropriate field as well as crop. Information technology has an important area to predict the crop production because it includes the latest advancement. In this paper, our aim is to develop the system to achieve high accuracy and resolve the problem of yielding in agriculture. We use the LS-SVM and deep neural network learning technique to predict the yield of crop based physical and chemical feature of plant and soil. This system helps the farmer to take the right decision about sowing particular crop in available land.

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How to Cite
, D. K. K. R. K. “Prediction of Crop Yield Using LS-SVM”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 8, Aug. 2018, pp. 05-07, doi:10.17762/ijritcc.v6i8.5166.