Article, Early Access,
A novel method for optimizing regional-scale management zones based on a sustainable environmental index
Contributors
Zhang, Hongwei
0000-0002-7009-8264
[1]
Cammarano, Davide
0000-0003-0918-550X
[2]
Yuan, Fei
0000-0002-1898-5114
[3]
[4]
Mandal, Dipankar
0000-0003-2167-2706
[5]
Fan, Mingsheng
0000-0003-2938-627X
[6]
Tian, Yongchao
0000-0002-3725-2231
[1]
Zhou, B.
0000-0003-0136-6402
[1]
Cao, Qiang
0000-0003-3733-2968
(Corresponding author)
[1]
Affiliations
- [1] Nanjing Agr Univ, Collaborat Innovat Ctr Modern Crop Prod Cosponsore, Jiangsu Key Lab Informat Agr, MOE Engn,Res Ctr Smart Agr,Natl Engn & Technol Ctr, Nanjing 210095, Peoples R China [NORA names: China; Asia, East];
- [2] Aarhus Univ, Dept Agroecol, iClimate, CBIO, DK-8830 Tjele, Denmark [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
- [3] Minnesota State Univ, Dept Geog, Mankato, MN 56001 USA [NORA names: United States; America, North; OECD];
- [4] Minnesota State Univ, Dept Geog, Mankato, MN 56001 USA [NORA names: United States; America, North; OECD];
- [5] Kansas State Univ, Dept Agron, Manhattan, KS 66506 USA [NORA names: United States; America, North; OECD];
(... more)
Abstract
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Keywords
Environmental drivers,
Input uncertainty,
Machine learning,
Regional crop management,
Sustainable agriculture development,
Weighted spatial analysis
