Litcius/Paper detail

Recognition methods of threshing load conditions based on machine learning algorithms

Zheng Ma, Sheng Jiang, Yaoming Li, Lizhang Xu, Yongle Zhu, Maolin Shi, Souleymane Nfamoussa Traore

2022Computers and Electronics in Agriculture17 citationsDOI

Topics & Concepts

ThreshingPrincipal component analysisSupport vector machineExtreme learning machineArtificial intelligenceKernel principal component analysisPattern recognition (psychology)Time domainRandom forestCluster analysisDimensionality reductionComputer scienceMachine learningData miningEngineeringArtificial neural networkKernel methodComputer visionMechanical engineeringAgricultural Engineering and MechanizationBelt Conveyor Systems Engineering
Recognition methods of threshing load conditions based on machine learning algorithms | Litcius