Journal article

Machine learning for optimizing complex site-specific management

Yuji Saikai, Vivak Patel, Paul D Mitchell

Computers and Electronics in Agriculture | Elsevier | Published : 2020


Despite the promise of precision agriculture for increasing the productivity by implementing site-specific management, farmers remain skeptical and its utilization rate is lower than expected. A major cause is a lack of concrete approaches to higher profitability. When involving many variables in both controlled management and monitored environment, optimal site-specific management for such high-dimensional cropping systems is considerably more complex than the traditional low-dimensional cases widely studied in the existing literature, calling for a paradigm shift in optimization of site-specific management. We develop a machine learning algorithm that enables farmers to efficiently learn t..

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University of Melbourne Researchers