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Quantifying tree-level peach flowering dynamics using UAV imagery and an optimized instance segmentation model
DOI:10.1016/j.compag.2025.110766.png)
摘要
En 中文
• 无人机影像能够实现桃树开花在树体水平的精确监测。
• 优化后的模型能够准确分割桃树花朵和花蕾。
• 开花指数能够量化单株树木的开花强度和比例。
• 通过开花指数对物候期和桃树品种进行分类。
期刊
IF:
8.9
论文数:
1.0W
被引数:
4.8W
机构
暂无机构信息
引用论文
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments基于通道剪枝的YOLO v4深度学习算法在自然环境下苹果花朵实时准确检测中的应用
Machine learning methods for efficient and automated in situ monitoring of peach flowering phenology
Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield利用基于UAV的高光谱遥感结合多种农艺性状监测马铃薯生长并估算产量

