Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images-Reference-Cited by-同舟云学术

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Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images

Published:2015-05 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Souza Jefferson R.,Mendes Caio C. T.,Guizilini Vitor,Vivaldini Kelen C. T.,Colturato Adimara,Ramos Fabio,Wolf Denis F.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7128761/7138973/07139675.pdf?arnumber=7139675

Cited by 13 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. Infected nursery stock and poor silvicultural practices contribute to development of Ceratocystis manginecans wilt and canker disease in Eucalyptus pellita;Australasian Plant Pathology;2024-08-21

2. Cross-Inoculation of Commercial Forestry, Amenity, and Horticulture Tree Species with Ceratocystis Isolates Collected from Different Host Species;Plant Disease;2024-06-01

3. Plannie: A Benchmark Framework for Autonomous Robots Path Planning Algorithms Integrated to Simulated and Real Environments;2022 International Conference on Unmanned Aircraft Systems (ICUAS);2022-06-21

4. Novelty detection in UAV images to identify emerging threats in eucalyptus crops;Computers and Electronics in Agriculture;2022-05

5. Thermal images to predict the thermal comfort index for Girolando heifers in the Brazilian semiarid region;Livestock Science;2021-09

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