Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
Yaping CaiNational Center for Supercomputing Applications, University of Illinois at Urbana Champaign, Urbana, IL, United StatesKaiyu GuanNational Center for Supercomputing Applications, University of Illinois at Urbana Champaign, Urbana, IL, United StatesDavid B. LobellCenter on Food Security and the Environment, Stanford University, Stanford, United StatesAndries PotgieterQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Toowoomba 4350, AustraliaShaowen WangCyberGIS Center for Advanced Digital and Spatial Studies, Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, United StatesJian PengDepartment of Computer Science, University of Illinois at Urbana Champaign, Urbana, IL, United StatesTianfang XuUtah Water Research Laboratory, Civil and Environmental Engineering, Utah State University, Logan, UT, United StatesSenthold AssengDepartment of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, 32611, United StatesYongguang ZhangInternational Institute for Earth System Sciences, Nanjing University, 210023 Nanjing, ChinaLiangzhi YouInternational Food Policy Research Institute, 1201 Eye Street, NW, Washington, DC, United StatesBin PengDepartment of Natural Resources and Environmental Sciences, University of Illinois at Urbana Champaign, Urbana, IL, United States
2019en
ABI
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