Data mining-

Improving irrigation planning and early prediction for agricultural drought in Wisconsin
A new ensemble modeling framework based on artificial neural network nonlinear autoregressive networks was developed to predict spatio-temporal fluctuations of groundwater in the densely irrigated area of Wisconsin central sands (WCS).
Ammara Talib, Ankur R Desai (2020)
Dec 15, 2020
Improving irrigation planning and early prediction for agricultural drought in Wisconsin
Efficacy of Machine Learning Algorithms for Identifying Hotspots of Groundwater Depletion in Intensively Irrigated Agricultural Regions
A new ensemble modeling framework based on artificial neural network nonlinear autoregressive networks was developed to predict spatio-temporal fluctuations of groundwater in the densely irrigated area of Wisconsin central sands (WCS).
Ammara Talib, Ankur R Desai (2018)
Dec 11, 2018
Efficacy of Machine Learning Algorithms for Identifying Hotspots of Groundwater Depletion in Intensively Irrigated Agricultural Regions