Revista Árvore | |
Detection of beetle damage in forests by X-ray CT image processing | |
Paulo Estevão Cruvinel2  João De Mendonça Naime2  Miguel Borges1  Álvaro Macedo2  Aijun Zhang1  | |
[1] ,Embrapa Agricultural InstrumentationSão Carlos SP ,Brazil | |
关键词: Forests; living trees; computerized tomography; injury detection; Florestas; árvores; tomografia computadorizada; detecção de injúrias; | |
DOI : 10.1590/S0100-67622003000500017 | |
来源: SciELO | |
【 摘 要 】
Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripennis, a species of beetle known in the United States as the ''Asian Longhorrned beetle'', which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time.
【 授权许可】
CC BY
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
【 预 览 】
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RO202005130065718ZK.pdf | 196KB | download |