1
Return

Co-optimization of productivity and environmental sustainability in China’s maize systems under future climate scenarios

delete2026-08-07
delete0
PRE
AI
Y
Yueying Wang
M
Manoj Karkee
S
Shangkun Liu
S
Shuiguang Deng
Y
Yong He
Q
Qianjing Jiang *
DOI：10.1016/j.compag.2026.112277delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• A data-driven framework co-optimizes productivity and sustainability. • Interpretable ML predicts maize yield and N2O emissions across China. • Nonlinear trade-offs reveal an efficient intermediate management zone. • Cooperative strategies balance yield, emissions, and economic performance. • Spatial heterogeneity supports region-specific management strategies.
Keywords:
Climate change
Maize production
Environmental sustainability
Machine-learning
Multi-objective optimization

Journal

Computers and Electronics in Agriculture cover
Computers and Electronics in Agriculture
IF:
8.9
Papers:
9.9K
Citations:
4.8W

Organization

C
cornell university
Scholars:
4.1K
Papers: 1.7K
Citations: 0
Z
zhejiang university
Scholars:
17.0W
Papers: 11.9W
Citations: 152
Cited Papers

Cited Papers

Citing Papers

Citing Papers