Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Barna, Keresztes"'
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:
Maroua Nouri, Nathalie Gorretta, Pierre Vaysse, Michel Giraud, Christian Germain, Barna Keresztes, Jean-Michel Roger
Publikováno v:
Data in Brief, Vol 16, Iss , Pp 967-971 (2018)
This dataset presents two series of hyperspectral images of healthy and infected apple tree leaves acquired daily, from two days after inoculation until an advanced stage of infection (11 days after inoculation). The hyperspectral images were calibra
Externí odkaz:
https://doaj.org/article/e871d1111e774b4c957c7fc244a90e21
Publikováno v:
In Journal of Applied Geophysics July 2015 118:115-123
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:
Mario Diaz Nava, Barna Keresztes, Olivier Sommier, Léa Cimetiere, Jean-Pierre Da Costa, Christian Germain, Jean-Jacques Dubourdieu
As part of the Internet of Food & Farm project for the adoption of IoT in the agri-food sector, this paper presents the design, implementation, and evaluation of an end-to-end and open IoT system architecture. This use case aims to further improve th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73f947000ac25650665e6ea113574856
https://doi.org/10.3233/aise220026
https://doi.org/10.3233/aise220026
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 1 (2018)
Grapevine wood fungal diseases such as esca are among the biggest threats in vineyards nowadays. The lack of very efficient preventive (best results using commercial products report 20% efficiency) and curative means induces huge economic losses. The
Externí odkaz:
https://doaj.org/article/27ab90f0895842f0b142342ce2f1a2d9