Crop diversification through crop mix optimization can alleviate soil antibiotic stresses
Year: 2024
Type: article
Abstract: We integrated machine learning, multi-objective optimization, and spatial planning models to develop a comprehensive framework for analyzing and optimizing global crop distribution. This methodological framework enables us to identify which specific crops play a critical role in influencing soil antibiotic pollution, to determine where and to what extent crop redistribution should be performed for maximum agricultural and environmental outcomes. This approach addresses key questions about the feasibility of achieving both reduced antibiotic pollution and increased crop diversity through optimized crop management, providing valuable insights into targeted crop redistribution strategies.
Source: Figshare
Author: Zhao
Language: English
Subfield: Pollution
Field: Environmental Science
Domain: Physical Sciences
SDGs: Zero hunger, Life on land
Open Access status: green
OpenAlex ID: W6920919700
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