Mask R-CNN Refitting Strategy for Plant Counting and Sizing in UAV Imagery

Mask R-CNN Refitting Strategy for Plant Counting and Sizing in UAV Imagery

This work introduces a method that combines remote sensing and deep learning into a framework that is tailored for accurate, reliable and efficient counting and sizing of plants in aerial images. The investigated task focuses on two low-density crops, potato and lettuce. This double objective of cou...

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Bibliographic Details
Main Authors: Mélissande Machefer, François Lemarchand, Virginie Bonnefond, Alasdair Hitchins, Panagiotis Sidiropoulos
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
UAV
crop mapping
image analysis
precision agriculture
deep learning
individual plant segmentation
Online Access:https://www.mdpi.com/2072-4292/12/18/3015

Internet

https://www.mdpi.com/2072-4292/12/18/3015

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