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dc.contributor.advisor
dc.contributor.authorZhao, Wei
dc.date.accessioned2021-03-08T17:20:12Z
dc.date.available2021-03-08T17:20:12Z
dc.date.issued2021-03
dc.identifier.citationTR1866en_US
dc.identifier.urihttp://digital.library.wisc.edu/1793/81418
dc.description.abstractIn this review, several innovative methods and the associated system were created for agriculture navigation, mapping, object detection, and related vehicles technologies. Based on the experiences with these applications, it is believed all the addressed AI techniques will be useful to the development of future AI farms. Autonomous and precision agricultural systems mitigate issues of current agriculture. This system is designed to reduce labor issues for the most dangerous and tedious agronomic tasks, improve efficiency, and reduce environmental impacts through better utilization of crop inputs. With the development of computing infrastructure, hardware, and improving algorithms, this system can enable more powerful applications in the future.en_US
dc.relation.ispartofseriesTR1866
dc.subjectmachine learningen_US
dc.subjecttechnical reviewen_US
dc.subjectalgorithms reviewen_US
dc.titleResearch review on AI and Machine learning related worksen_US
dc.typeTechnical Reporten_US


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  • CS Technical Reports
    Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison

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