Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Stephanie Delalieux"'
Autor:
Stephanie Delalieux, Tom Hardy, Michel Ferry, Susi Gomez, Lammert Kooistra, Maria Culman, Laurent Tits
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1380 (2023)
Red palm weevil (RPW) is widely considered a key pest of palms, creating extensive damages to the date palm trunk that inevitably leads to palm death if no pest eradication is done. This study evaluates the potential of a remote sensing approach for
Externí odkaz:
https://doaj.org/article/4fece8165081493b89e2b4cb5e241834
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3476 (2020)
Phoenix palms cover more than 1.3 million hectares in the Mediterranean, Middle East, and North Africa regions and they represent highly valued assets for economic, environmental, and cultural purposes. Despite their importance, information on the nu
Externí odkaz:
https://doaj.org/article/3db30d202d5645f2a8be227b6a3ab87e
Publikováno v:
Agronomy, Vol 10, Iss 5, p 615 (2020)
Controlling fire blight in pear production areas depends strongly on regular visual inspections of pome fruit orchards, nurseries and other hosts of Erwinia amylovora. In addition, these inspections play an essential role in delineating fire blight f
Externí odkaz:
https://doaj.org/article/02c86998511b4bfaaf318b79deb75425
Autor:
Yasmin Vanbrabant, Stephanie Delalieux, Laurent Tits, Klaas Pauly, Joke Vandermaesen, Ben Somers
Publikováno v:
Agronomy, Vol 10, Iss 3, p 407 (2020)
High quality fruit production requires the regulation of the crop load on fruit trees by reducing the number of flowers and fruitlets early in the growing season, if the bearing is too high. Several automated flower cluster quantification methods bas
Externí odkaz:
https://doaj.org/article/0fe31f710d01422c9b360bf0e05f358e
Publikováno v:
Remote Sensing, Vol 11, Iss 12, p 1468 (2019)
Early and precise spatio-temporal monitoring of tree vitality is key for steering management decisions in pome fruit orchards. Spaceborne remote sensing instruments face a tradeoff between spatial and spectral resolution, while manned aircraft sensor
Externí odkaz:
https://doaj.org/article/23aa0bb20d8b4021adef4fdbbfbcfe3e
Autor:
Johan Keulemans, Stefaan Lhermitte, Roland Valcke, Ben Somers, Willem W. Verstraeten, Annemarie Auwerkerken, Stephanie Delalieux, Pol Coppin
Publikováno v:
Remote Sensing, Vol 1, Iss 4, Pp 858-874 (2009)
Apple scab causes significant losses in the production of this fruit. A timely and more site-specific monitoring and spraying of the disease could reduce the number of applications of fungicides in the fruit industry. The aim of this leaf-scale study
Externí odkaz:
https://doaj.org/article/919631ae902749519cd6f1b87d0b81e0
Autor:
Birgen Haest, Jeroen Vanden Borre, Toon Spanhove, Guy Thoonen, Stephanie Delalieux, Lammert Kooistra, Caspar A. Mücher, Desiré Paelinckx, Paul Scheunders, Pieter Kempeneers
Publikováno v:
Remote Sensing, Vol 9, Iss 3, p 266 (2017)
Appropriate management of (semi-)natural areas requires detailed knowledge of the ecosystems present and their status. Remote sensing can provide a systematic, synoptic view at regular time intervals, and is therefore often suggested as a powerful to
Externí odkaz:
https://doaj.org/article/2c214e1e85da4d2f8e421aa058b717be
Publikováno v:
Acta Horticulturae. :297-306
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f44da313841a2020ec02874e213e7c5
https://doi.org/10.17660/actahortic.2021.1314.37
https://doi.org/10.17660/actahortic.2021.1314.37
Publikováno v:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII.
The challenge of classifying and locating Phoenix palm trees in different scenes with different appearances and varied ages has been addressed with deep learning object detection over aerial images. Nevertheless, an explicit limitation hereof is that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::799a494b9eb2bb09631eaf5a03be3a59
https://doi.org/10.1117/12.2599861
https://doi.org/10.1117/12.2599861
Publikováno v:
IGARSS
Remote sensing techniques can be used in agriculture to gather information about crop health and growth status. Especially in 3D crops, many challenges remain, however, as it is unclear to what extent results and methods from 2D crops can be extrapol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35797bff4ef4b48b70f9a776f3cc3598
https://doi.org/10.1109/igarss47720.2021.9554559
https://doi.org/10.1109/igarss47720.2021.9554559