Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Albert STREVER"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 11, p 385 (2024)
The use of passive optical remote sensing (RS) has a rich history in precision viticulture (PV), with the use of RS technologies being employed in a myriad of PV applications. The present work undertakes a scoping review to examine past and current t
Externí odkaz:
https://doaj.org/article/0908555f4d5b44abac34476212d4bf29
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1073 (2019)
Leaf area per unit surface (LAI—leaf area index) is a valuable parameter to assess vine vigour in several applications, including direct mapping of vegetative−reproductive balance (VRB). Normalized difference vegetation index (NDVI) has been succ
Externí odkaz:
https://doaj.org/article/dbbfa2de7b2242faa9167780e8663900
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 202 (2018)
The detection of water stress in vineyards plays an integral role in the sustainability of high-quality grapes and prevention of devastating crop loses. Hyperspectral remote sensing technologies combined with machine learning provides a practical mea
Externí odkaz:
https://doaj.org/article/3761fd53b88e450ea8155c4982d527bd
Publikováno v:
Phytopathologia Mediterranea, Vol 50, Iss 4 (2011)
Several species in Botryosphaeriaceae have been associated with grapevine trunk diseases. To evaluate the effect of water stress on infection of grapevines by Botryosphaeriaceae spp., 1-year-old Shiraz/101-14 Mgt nursery grapevine plants were planted
Externí odkaz:
https://doaj.org/article/0a59574b43ce4c9abb55b56fcd26e29c
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1073 (2019)
Remote Sensing; Volume 11; Issue 9; Pages: 1073
Remote Sensing; Volume 11; Issue 9; Pages: 1073
Leaf area per unit surface (LAI—leaf area index) is a valuable parameter to assess vine vigour in several applications, including direct mapping of vegetative−reproductive balance (VRB). Normalized difference vegetation index (NDVI) has been succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::253ed0c0b67af5ec51203a5108c6aeeb
https://www.mdpi.com/2072-4292/11/9/1073
https://www.mdpi.com/2072-4292/11/9/1073
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 202 (2018)
Remote Sensing
Volume 10
Issue 2
Pages: 202
Remote Sensing
Volume 10
Issue 2
Pages: 202
The detection of water stress in vineyards plays an integral role in the sustainability of high-quality grapes and prevention of devastating crop loses. Hyperspectral remote sensing technologies combined with machine learning provides a practical mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca110b4f44b674767b1efdb85c640d30
http://www.mdpi.com/2072-4292/10/2/202
http://www.mdpi.com/2072-4292/10/2/202