1. Ali S, Badar N, Fatima H (2015) Forecasting production and yield of sugarcane and cotton crops of Pakistan for 2013-2030. Sarhad J Agric 31(4):1–10
2. Anggraeni W, Mahananto F, Rofiq M, Andri KB, Sumaryanto, Zaini Z, Subriadi AP (2018) Agricultural strategic commodity price forecasting using artificial neural network. In: 2018 international seminar on research of information technology and intelligent systems (ISRITI). IEEE
3. Brdar S, Culibrk D, Marinkovic B, Crnobarac J, Crnojevic V (2011) Support vector machines with features contribution analysis for agricultural yield prediction. In: second international workshop on sensing technologies in agriculture, forestry and environment (EcoSense 2011). Belgrade, Serbia, pp 43–47
4. Dang C, Liu Y, Yue H, Qian J, Zhu R (2020) Autumn crop yield prediction using data-driven approaches: support vector machines, random forest, and deep neural network methods. Can J Remote Sens 47(2):162–181 October
5. Das P, Jha G, Lama A, Parsad R, Mishra D (2020) Empirical mode decomposition based support vector regression for agricultural price forecasting. J Extension Educ 56(12):7–12