Tree Health Assessment Using Mask R-CNN on UAV Multispectral Imagery over Apple Orchards

Accurate tree health monitoring in orchards is essential for optimal orchard production. This study investigates the efficacy of a deep learning-based object detection single-step method for detecting tree health on multispectral UAV imagery. A modified Mask R-CNN framework is employed with four dif...

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發表在:	Remote Sensing
Main Authors:	Mohadeseh Kaviani, Brigitte Leblon, Thangarajah Akilan, Dzhamal Amishev, Armand LaRocque, Ata Haddadi
格式:	Article
語言:	英语
出版:	MDPI AG 2025-10-01
主題:	UAV imagery multispectral principal component analysis Mask R-CNN Resnet ResneXt
在線閱讀:	https://www.mdpi.com/2072-4292/17/19/3369