Yang, Z.;                     Qi, H.;                     Hu, K.;                     Kou, W.;                     Xu, W.;                     Wang, H.;                     Lu, N.    
        Estimation of Amorphophallus Konjac Above-Ground Biomass by Integrating Spectral and Texture Information from Unmanned Aerial Vehicle-Based RGB Images. Drones 2025, 9, 220.
    https://doi.org/10.3390/drones9030220
    AMA Style
    
                                Yang Z,                                 Qi H,                                 Hu K,                                 Kou W,                                 Xu W,                                 Wang H,                                 Lu N.        
                Estimation of Amorphophallus Konjac Above-Ground Biomass by Integrating Spectral and Texture Information from Unmanned Aerial Vehicle-Based RGB Images. Drones. 2025; 9(3):220.
        https://doi.org/10.3390/drones9030220
    
    Chicago/Turabian Style
    
                                Yang, Ziyi,                                 Hongjuan Qi,                                 Kunrong Hu,                                 Weili Kou,                                 Weiheng Xu,                                 Huan Wang,                                 and Ning Lu.        
                2025. "Estimation of Amorphophallus Konjac Above-Ground Biomass by Integrating Spectral and Texture Information from Unmanned Aerial Vehicle-Based RGB Images" Drones 9, no. 3: 220.
        https://doi.org/10.3390/drones9030220
    
    APA Style
    
                                Yang, Z.,                                 Qi, H.,                                 Hu, K.,                                 Kou, W.,                                 Xu, W.,                                 Wang, H.,                                 & Lu, N.        
        
        (2025). Estimation of Amorphophallus Konjac Above-Ground Biomass by Integrating Spectral and Texture Information from Unmanned Aerial Vehicle-Based RGB Images. Drones, 9(3), 220.
        https://doi.org/10.3390/drones9030220