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Machine learning for weed–plant discrimination in agriculture 5.0:An in-depth review
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作者 Filbert H.Juwono W.K.Wong +3 位作者 Seema Verma Neha Shekhawat Basil Andy Lease Catur Apriono 《Artificial Intelligence in Agriculture》 2023年第4期13-25,共13页
Agriculture 5.0 is an emerging concept where sensors,big data,Internet-of-Things(IoT),robots,and Artificial In-telligence(AI)are used for agricultural purposes.Different from Agriculture 4.0,robots and AI become the f... Agriculture 5.0 is an emerging concept where sensors,big data,Internet-of-Things(IoT),robots,and Artificial In-telligence(AI)are used for agricultural purposes.Different from Agriculture 4.0,robots and AI become the focus of the implementation in Agriculture 5.0.One of the applications of Agriculture 5.0 is weed management where robots are used to discriminate weeds from the crops or plants so that proper action can be performed to remove the weeds.This paper discusses an in-depth review of Machine Learning(ML)techniques used for discriminating weeds from crops or plants.We specifically present a detailed explanation of five steps required in using ML algorithms to distinguish between weeds and plants. 展开更多
关键词 Agriculture 5.0 Machine learning Unmanned aerial vehicle Weed-plant discrimination
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