Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Julien Sarron"'
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1900 (2018)
In the value chain, yields are key information for both growers and other stakeholders in market supply and exports. However, orchard yields are often still based on an extrapolation of tree production which is visually assessed on a limited number o
Externí odkaz:
https://doaj.org/article/59ec54f62e0341b7aa4a2a8abe63d570
Autor:
Chloé Alexandre, Léa Tresch, Julien Sarron, Jéremy Lavarenne, Gaspard Bringer, Hamza Rkha Chaham, Hamza Bendahou, Sofia Carmeni, Philippe Borianne, Jean-Mathias Koffi, Emile Faye
Publikováno v:
Agronomy for Sustainable Development
This study is based on the observation that many digital tools and services for agriculture do not put farmers' expectations and interests first, resulting in top-down research and development. On-Farm Experimentation (OFE) contributes to overcoming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c7f6eed394d1b18a4e31c136dbfd90f
https://doi.org/10.1007/s13593-023-00888-7
https://doi.org/10.1007/s13593-023-00888-7
Autor:
Pascal Danthu, Isabelle Michel, Stéphanie M. Carrière, Vanesse Labeyrie, Bakolimalala Rakouth, Julien Sarron, Juliette Mariel, Dominique Lasserre, Eric Penot
Publikováno v:
Agroforestry Systems
An inventory of the species in and around the clove agroforestry systems (AFS) on the east coast of Madagascar revealed that none of the currently grown species derive from the native Malagasy biodiversity: the herbaceous and woody plants which compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e232f45b7e5d9eafa7b78d9c7b0fc9e
https://doi.org/10.1007/s10457-022-00732-z
https://doi.org/10.1007/s10457-022-00732-z
Publikováno v:
Precision Agriculture
Deep learning techniques and computer vision systems offer effective fruit counting solutions for farm yield estimation. However, the performance of these solutions drops when identifying different cultivars of the same fruit species. This study clar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa37ab25373276ce9853705a60828cd1
http://agritrop.cirad.fr/604384/
http://agritrop.cirad.fr/604384/
Autor:
Philippe Debaeke, Emmanuelle Mestries, Nicolas B. Langlade, Ronan Trépos, Amélia Landré, Patrick Vincourt, Arnaud Gauffreteau, Julien Sarron, Pierre Casadebaig
Publikováno v:
Theoretical and Applied Genetics
Plant breeding programs design new crop cultivars which, while developed for distinct populations of environments, are nevertheless grown over large areas during their time in the market. Over its cultivation area, the crop is exposed to highly diver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71fdf7ffffea694ef33715d245f8a622
http://agritrop.cirad.fr/599429/
http://agritrop.cirad.fr/599429/
Autor:
Casadebaig, Pierre, Gauffreteau, Arnaud, Langlade, Nicolas, Emmanuelle, Mestries, Julien, Sarron, Ronan, Trépos, Debaeke, Philippe
Publikováno v:
iCROPM 2020 Second International Crop Modelling Symposium
iCROPM 2020 Second International Crop Modelling Symposium, Feb 2020, Montpellier, France. pp.125-126
iCROPM 2020 Second International Crop Modelling Symposium, Feb 2020, Montpellier, France. pp.125-126
International audience; Plant breeding programs design new crop varieties which, while adapted to distinct population of environments, are nevertheless grown over large areas during their commercial life. Over this global farming area, the crop is ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f9c00ce27d8aac4aebe1a1224b684cca
https://hal.inrae.fr/hal-02956660
https://hal.inrae.fr/hal-02956660
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1900 (2018)
Remote Sensing
Volume 10
Issue 12
Pages: 1900
Remote Sensing
Volume 10
Issue 12
Pages: 1900
In the value chain, yields are key information for both growers and other stakeholders in market supply and exports. However, orchard yields are often still based on an extrapolation of tree production which is visually assessed on a limited number o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8715d90bbade4e6c1c77e9736f42b41
https://www.mdpi.com/2072-4292/10/12/1900
https://www.mdpi.com/2072-4292/10/12/1900
Autor:
Philippe Borianne, Thibault Nordey, Cheikh Amet Bassirou Sane, Julien Sarron, Frédéric Normand, Emile Faye, Paterne Diatta, Eric Malézieux, Youga Niang
Publikováno v:
Acta Horticulturae
II Symposium on Mechanization, Precision Horticulture, and Robotics
II Symposium on Mechanization, Precision Horticulture, and Robotics, F. Larcher; J. Ochoa Rego; V. Loges; S. Sever Mutlu; S. Arslan; R. Ehsani, Aug 2018, Istanbul, Turkey. pp.201-208, ⟨10.17660/ActaHortic.2020.1279.30⟩
Proceedings of the VII Conference on Landscape and Urban Horticulture, IV Conference on Turfgrass Management and Science for Sports Fields and II Symposium on Mechanization, Precision Horticulture, and Robotics: : XXX International Horticultural Congress
II Symposium on Mechanization, Precision Horticulture, and Robotics
II Symposium on Mechanization, Precision Horticulture, and Robotics, F. Larcher; J. Ochoa Rego; V. Loges; S. Sever Mutlu; S. Arslan; R. Ehsani, Aug 2018, Istanbul, Turkey. pp.201-208, ⟨10.17660/ActaHortic.2020.1279.30⟩
Proceedings of the VII Conference on Landscape and Urban Horticulture, IV Conference on Turfgrass Management and Science for Sports Fields and II Symposium on Mechanization, Precision Horticulture, and Robotics: : XXX International Horticultural Congress
International audience; In the last decade, image analysis using machine learning algorithms proved its potential for the detection and counting of plant organs. Numerous studies provided fruit tree yield estimates based on machine learning with high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::961882234b4feea9c3db7db9d34643ee
https://hal.inrae.fr/hal-02911639
https://hal.inrae.fr/hal-02911639