Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Jean-Pierre Da Costa"'
Publikováno v:
OENO One, Vol 58, Iss 2 (2024)
Rootstocks are an important means of adapting grapevine to environmental conditions whilst conserving the typical features of scion genotypes. Rootstocks not only provide tolerance to Phylloxera, but also ensure the supply of water and mineral nutrie
Externí odkaz:
https://doaj.org/article/8f0d74dd55b44c888cfb8253b7c0380c
Autor:
Malo Tardif, Ahmed Amri, Aymeric Deshayes, Marc Greven, Barna Keresztes, Gaël Fontaine, Laetitia Sicaud, Laetitia Paulhac, Sophie Bentejac, Jean-Pierre Da Costa
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109230- (2023)
The grapevine is vulnerable to diseases, deficiencies, and pests, leading to significant yield losses. Current disease controls involve monitoring and spraying phytosanitary products at the vineyard block scale. However, automatic detection of diseas
Externí odkaz:
https://doaj.org/article/9f1a36fccaaf4df19b4e0c668b282ca1
Autor:
Malo Tardif, Ahmed Amri, Barna Keresztes, Aymeric Deshayes, Damian Martin, Marc Greven, Jean-Pierre Da Costa
Publikováno v:
OENO One, Vol 56, Iss 3 (2022)
“Flavescence dorée” (FD) is a grape vine disease caused by the bacterial agent “Candidatus Phytoplasma vitis” and spread by the leafhopper Scaphoideus titanus Ball (Hemiptera: Cicadellidae). The disease is very closely monitored in Europe, a
Externí odkaz:
https://doaj.org/article/2dca91ddf6234c30a59115960aa2dda7
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108035- (2022)
This article introduces a dataset of 2 801 images of vegetable crops. Maize (Zea mays), bean (Phaseolus vulgaris) and leek (Allium ampeloprasum) crops at an early stage of development (between 2 and 5 weeks from seeding of transplanting) are supporte
Externí odkaz:
https://doaj.org/article/9bdd40350b7049ceaa4315c5c79b152c
Autor:
Florian Rançon, Barna Keresztes, Aymeric Deshayes, Malo Tardif, Florent Abdelghafour, Gael Fontaine, Jean-Pierre Da Costa, Christian Germain
Publikováno v:
Sensors, Vol 23, Iss 2, p 847 (2023)
The potential of image proximal sensing for agricultural applications has been a prolific scientific subject in the recent literature. Its main appeal lies in the sensing of precise information about plant status, which is either harder or impossible
Externí odkaz:
https://doaj.org/article/f4e0488a04514a7aa82e459b9c4c66da
Autor:
Florent Abdelghafour, Barna Keresztes, Aymeric Deshayes, Christian Germain, Jean-Pierre Da Costa
Publikováno v:
Data in Brief, Vol 37, Iss , Pp 107250- (2021)
This article introduces a dataset of high-resolution colour images of grapevines. It contains 99 images acquired in the vineyard from a cruising tractor. Each image includes the full foliage of a grapevine plant. These images display a diverse range
Externí odkaz:
https://doaj.org/article/ce09f929226d4ea7aa9e3a35dcf38622
Autor:
Guilherme Eduardo Martins, Cosimo Casini, Jean-Pierre Da Costa, Laurence Geny, Aline Lonvaud, Isabelle Masneuf-Pomarède
Publikováno v:
OENO One, Vol 54, Iss 1 (2020)
Grape berries host a complex microbial community that plays a predominant role in grape quality prior to harvest and in the winemaking process. Like other carpospheric habitats, the epiphytic microbial community of grape berries is influenced by seve
Externí odkaz:
https://doaj.org/article/70ecd94c7dd74240967221794dd51d08
Exploratory Analysis on Pixelwise Image Segmentation Metrics with an Application in Proximal Sensing
Autor:
Paul Melki, Lionel Bombrun, Estelle Millet, Boubacar Diallo, Hakim ElChaoui ElGhor, Jean-Pierre Da Costa
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 996 (2022)
A considerable number of metrics can be used to evaluate the performance of machine learning algorithms. While much work is dedicated to the study and improvement of data quality and models’ performance, much less research is focused on the study o
Externí odkaz:
https://doaj.org/article/40d1636394084a2b93b37551b8985f66
Publikováno v:
Sensors, Vol 20, Iss 16, p 4380 (2020)
This paper proposes to study the potentialities of on-board colour imaging for the in-field detection of a textbook case disease: the grapevine downy mildew. It introduces an algorithmic strategy for the detection of various forms of foliar symptoms
Externí odkaz:
https://doaj.org/article/1cca92cc300644e3b531e5f887665512
Autor:
Christian Germain, Rémy Blanc, Marc Donias, Olivier Lavialle, Jean-Pierre Da Costa, Pierre Baylou
Publikováno v:
Image Analysis and Stereology, Vol 24, Iss 3, Pp 127-134 (2011)
This paper discusses two new image analysis methods for estimating the elevation angle of the section plane of a material. These methods are applicable to materials such as nickel base superalloys, the microstructure of which shows cubes arranged on
Externí odkaz:
https://doaj.org/article/bdd3d5cb75a045a997c8c6af18887407