Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data

Autor: Luís Pádua, Pedro Marques, Luís Martins, António Sousa, Emanuel Peres, Joaquim J. Sousa

Publikováno v: Remote Sensing, Vol 12, Iss 18, p 3032 (2020)

Phytosanitary conditions can hamper the normal development of trees and significantly impact their yield. The phytosanitary condition of chestnut stands is usually evaluated by sampling trees followed by a statistical extrapolation process, making it

Externí odkaz: https://doaj.org/article/f5e123f7e94446beaba265f95cc46598

Molecular factors associated with pathogenicity of Phytophthora cinnamomi

Autor: Lourenço, Darling de Andrade, Moura de Leon, Priscila Marques, Santos, Luís, Choupina, Altino

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Phytophthora cinnamomi is soil pathogen that has a wide range of hosts in several countries and different climates. This fungus is responsible for the chestnut ink disease (Castanea sativa Miller) and death of the tree. Portugal stands out in the pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14152c22f1827c3383593a36f5cbb30f

Fatores moleculares associados com a patogenicidade de Phytophthora cinnamomi

Autor: Lourenço, Darling de Andrade, Leon, Priscila Marques Moura de, Santos, Luís, Choupina, Altino Branco

Publikováno v: Revista de Ciências Agrárias v.42 n.4 2019
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Revista de Ciências Agrárias, Volume: 42, Issue: 4, Pages: 211-220, Published: DEC 2019

Phytophthora cinnamomiis soil pathogen that has a wide range of hosts in several countries and different climates. This fungus is responsible for the chestnut ink disease (Castanea sativaMiller) and death of the tree. Portugal stands out in the produ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::717550a71e2599dff5d2e76569bc4746
http://www.scielo.mec.pt/scielo.php?script=sci_arttext&pid=S0871-018X2019000400022

Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data

Autor: António Sousa, Luís Pádua, Joaquim J. Sousa, Pedro Marques, Emanuel Peres, Luís Martins

Publikováno v: Remote Sensing, Vol 12, Iss 3032, p 3032 (2020)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Remote Sensing; Volume 12; Issue 18; Pages: 3032

Phytosanitary conditions can hamper the normal development of trees and significantly impact their yield. The phytosanitary condition of chestnut stands is usually evaluated by sampling trees followed by a statistical extrapolation process, making it

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::308f966e5469e923cdf240bed40b2172
https://doi.org/10.3390/rs12183032

Development of SCAR Markers for the Identification ofPhytophthora katsuraeCausing Chestnut Ink Disease in Korea

Autor: Sun Keun Lee, Sang Yong Lee, Dong-Hyeon Lee, Jong Kyu Lee

Publikováno v: Mycobiology

Sequence characterized amplified region (SCAR) markers are one of the most effective and accurate tools for microbial identification. In this study, we applied SCAR markers for the rapid and accurate detection of Phytophthora katsurae, the casual age

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2daa130488ea3b3d16f79633ddedcf39
https://doi.org/10.5941/myco.2013.41.2.86