Sanaeifar, A.;                     Dill-Macky, R.;                     Curland, R.D.;                     Reynolds, S.;                     Rouse, M.N.;                     Kianian, S.;                     Yang, C.    
        High-Throughput UAV Hyperspectral Remote Sensing Pinpoints Bacterial Leaf Streak Resistance in Wheat. Remote Sens. 2025, 17, 2799.
    https://doi.org/10.3390/rs17162799
    AMA Style
    
                                Sanaeifar A,                                 Dill-Macky R,                                 Curland RD,                                 Reynolds S,                                 Rouse MN,                                 Kianian S,                                 Yang C.        
                High-Throughput UAV Hyperspectral Remote Sensing Pinpoints Bacterial Leaf Streak Resistance in Wheat. Remote Sensing. 2025; 17(16):2799.
        https://doi.org/10.3390/rs17162799
    
    Chicago/Turabian Style
    
                                Sanaeifar, Alireza,                                 Ruth Dill-Macky,                                 Rebecca D. Curland,                                 Susan Reynolds,                                 Matthew N. Rouse,                                 Shahryar Kianian,                                 and Ce Yang.        
                2025. "High-Throughput UAV Hyperspectral Remote Sensing Pinpoints Bacterial Leaf Streak Resistance in Wheat" Remote Sensing 17, no. 16: 2799.
        https://doi.org/10.3390/rs17162799
    
    APA Style
    
                                Sanaeifar, A.,                                 Dill-Macky, R.,                                 Curland, R. D.,                                 Reynolds, S.,                                 Rouse, M. N.,                                 Kianian, S.,                                 & Yang, C.        
        
        (2025). High-Throughput UAV Hyperspectral Remote Sensing Pinpoints Bacterial Leaf Streak Resistance in Wheat. Remote Sensing, 17(16), 2799.
        https://doi.org/10.3390/rs17162799