Agricultural Economic Evaluation Based on Improved Support Vector Regression

China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach

“…Agricultural researchers have used SVM in crop yield estimation and livestock, water, and soil management (Liakos et al 2018), and carcass weight prediction for beef cattle (Alonso, Castañón, and Bahamonde 2013). Liu et al (2019) use SVR in the prediction of hog prices, Jheng, Li, and Lee (2018) use it to predict rice yield, and Huang (2015) uses it to evaluate agricultural project bids; however, the application of SVR is absent from leading agricultural economics journals.…”