Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera-Reference-Cited by-同舟云学术

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Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera

Published:2019-01 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Winter Conference on Applications of Computer Vision (WACV)
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Author:

Ahmed Imran,Eramian Mark,Ovsyannikov Ilya,van der Kamp William,Nielsen Karsten,Duddu Hema Sudhakar,Rumali Arafia,Shirtliffe Steve,Bett Kirstin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8642793/8658235/08658816.pdf?arnumber=8658816

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. YOLOv8-segANDcal: segmentation, extraction, and calculation of soybean radicle features;Frontiers in Plant Science;2024-07-11

3. A methodical analysis of deep learning techniques for detecting Indian lentils;Journal of Agriculture and Food Research;2024-03

4. Segmentation and Phenotype Calculation of Rapeseed Pods Based on YOLO v8 and Mask R-Convolution Neural Networks;Plants;2023-09-20

5. Opportunity and challenges of phenotyping plant salt tolerance;Trends in Plant Science;2023-05

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