Machine learning for optimizing complex site-specific management.

Computers and Electronics in Agriculture(2020)

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摘要
•A machine learning algorithm to efficiently learn optimal site-specific management.•Based on Bayesian optimization techniques.•Demonstration of leaning 864 management variables.•Only after 5 years, good site-specific management can be learned.•$40/ha higher profits with 55 kg/ha less nitrogen fertilizer than uniform management.
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关键词
Machine learning,Bayesian optimization,APSIM,Precision agriculture,Site-specific management,On-farm experiments
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