Han, N.;                     Zhang, B.;                     Liu, Y.;                     Peng, Z.;                     Zhou, Q.;                     Wei, Z.    
        Rapid Diagnosis of Nitrogen Nutrition Status in Summer Maize over Its Life Cycle by a Multi-Index Synergy Model Using Ground Hyperspectral and UAV Multispectral Sensor Data. Atmosphere 2022, 13, 122.
    https://doi.org/10.3390/atmos13010122
    AMA Style
    
                                Han N,                                 Zhang B,                                 Liu Y,                                 Peng Z,                                 Zhou Q,                                 Wei Z.        
                Rapid Diagnosis of Nitrogen Nutrition Status in Summer Maize over Its Life Cycle by a Multi-Index Synergy Model Using Ground Hyperspectral and UAV Multispectral Sensor Data. Atmosphere. 2022; 13(1):122.
        https://doi.org/10.3390/atmos13010122
    
    Chicago/Turabian Style
    
                                Han, Nana,                                 Baozhong Zhang,                                 Yu Liu,                                 Zhigong Peng,                                 Qingyun Zhou,                                 and Zheng Wei.        
                2022. "Rapid Diagnosis of Nitrogen Nutrition Status in Summer Maize over Its Life Cycle by a Multi-Index Synergy Model Using Ground Hyperspectral and UAV Multispectral Sensor Data" Atmosphere 13, no. 1: 122.
        https://doi.org/10.3390/atmos13010122
    
    APA Style
    
                                Han, N.,                                 Zhang, B.,                                 Liu, Y.,                                 Peng, Z.,                                 Zhou, Q.,                                 & Wei, Z.        
        
        (2022). Rapid Diagnosis of Nitrogen Nutrition Status in Summer Maize over Its Life Cycle by a Multi-Index Synergy Model Using Ground Hyperspectral and UAV Multispectral Sensor Data. Atmosphere, 13(1), 122.
        https://doi.org/10.3390/atmos13010122