综述论文1Utilising Drones in Agriculture: A Review on Remote Sensors, Image Processing and Their ApplicationYumnam, Chetan, Andyco B. Marak, Manish Kumar, Sanjay Khatri, Shravan Kumar, Sapna Soni, K. Kabil, et al. 2025. “Utilising Drones in Agriculture: A Review on Remote Sensors, Image Processing and Their Application.” Modern Agriculture: e70021. https://doi.org/10.1002/moda.70021.研究论文2-无人机茶树研究Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learningWang, Shu-Mao, et al. “Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learning.” Expert Systems with Applications 227 (2023): 120351.研究论文3- 无人机菠萝检测YOLO-pineapple: enhanced pineapple detection in UAV images using an optimized YOLOv8 modelXue, Zhong, et al. “YOLO-pineapple: enhanced pineapple detection in UAV images using an optimized YOLOv8 model.” Expert Systems with Applications (2026): 132486. 【SCI】无人机和AI在农业上的综合应用
综述论文1Utilising Drones in Agriculture: A Review on Remote Sensors, Image Processing and Their ApplicationYumnam, Chetan, Andyco B. Marak, Manish Kumar, Sanjay Khatri, Shravan Kumar, Sapna Soni, K. Kabil, et al. 2025. “Utilising Drones in Agriculture: A Review on Remote Sensors, Image Processing and Their Application.” Modern Agriculture: e70021. https://doi.org/10.1002/moda.70021.研究论文2-无人机茶树研究Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learningWang, Shu-Mao, et al. “Pixel-class prediction for nitrogen content of tea plants based on unmanned aerial vehicle images using machine learning and deep learning.” Expert Systems with Applications 227 (2023): 120351.研究论文3- 无人机菠萝检测YOLO-pineapple: enhanced pineapple detection in UAV images using an optimized YOLOv8 modelXue, Zhong, et al. “YOLO-pineapple: enhanced pineapple detection in UAV images using an optimized YOLOv8 model.” Expert Systems with Applications (2026): 132486.