Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learning
Shumao Wang, Ma JunHui, Zhu-Meng Zhao, Hong-Zhi-Yuan Yang, Yi‐Min Xuan, Jia-Xue Ouyang, Dongmei Fan, Jinfeng Yu, Xiaochang Wang
Topics & Concepts
RGB color modelShootTea gardenCamellia sinensisArtificial intelligenceHSL and HSVComputer scienceGreen teaPixelNitrogenMathematicsMachine learningHorticultureChemistryBiologyFood scienceVirologyOrganic chemistryVirusRemote Sensing in AgricultureSpectroscopy and Chemometric AnalysesSmart Agriculture and AI