Litcius/Paper detail

Data-driven optimization of nitrogen fertilization and quality sensing across tea bud varieties using near-infrared spectroscopy and deep learning

Wenkai Zhang, Alireza Sanaeifar, Xusheng Ji, Xuelun Luo, Hongen Guo, Qinghai He, Ying Luo, Fuyin Huang, Peng Yan, Xiaoli Li, Yong He

2024Computers and Electronics in Agriculture19 citationsDOI

Topics & Concepts

NitrogenHuman fertilizationNear-infrared spectroscopyNitrogen fertilizerSpectroscopyQuality (philosophy)Infrared spectroscopyArtificial intelligenceInfraredFunctional near-infrared spectroscopyRemote sensingAgricultural engineeringEnvironmental scienceComputer scienceBiological systemMaterials scienceBotanyChemistryAgronomyBiologyEngineeringGeographyOpticsPhysicsOrganic chemistryCognitionQuantum mechanicsNeurosciencePrefrontal cortexSpectroscopy and Chemometric AnalysesTea Polyphenols and EffectsAdvanced Chemical Sensor Technologies
Data-driven optimization of nitrogen fertilization and quality sensing across tea bud varieties using near-infrared spectroscopy and deep learning | Litcius