Zobrazeno 1 - 10
of 4 064
pro vyhledávání: '"U30 - Méthodes de recherche"'
Autor:
Simon Madec, Kamran Irfan, Kaaviya Velumani, Frederic Baret, Etienne David, Gaetan Daubige, Lucas Bernigaud Samatan, Mario Serouart, Daniel Smith, Chrisbin James, Fernando Camacho, Wei Guo, Benoit De Solan, Scott C. Chapman, Marie Weiss
Publikováno v:
Scientific Data
Applying deep learning to images of cropping systems provides new knowledge and insights in research and commercial applications. Semantic segmentation or pixel-wise classification, of RGB images acquired at the ground level, into vegetation and back
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df20e75129651bf77a217895a07845b
https://doi.org/10.1038/s41597-023-02098-y
https://doi.org/10.1038/s41597-023-02098-y
Autor:
Julia Le Noë, Stefano Manzoni, Rose Abramoff, Tobias Bölscher, Elisa Bruni, Rémi Cardinael, Philippe Ciais, Claire Chenu, Hugues Clivot, Delphine Derrien, Fabien Ferchaud, Patricia Garnier, Daniel Goll, Gwenaëlle Lashermes, Manuel Martin, Daniel Rasse, Frédéric Rees, Julien Sainte-Marie, Elodie Salmon, Marcus Schiedung, Josh Schimel, William Wieder, Samuel Abiven, Pierre Barré, Lauric Cécillon, Bertrand Guenet
Publikováno v:
Communications Earth & Environment
Communications Earth & Environment, 2023, 4 (1), pp.158. ⟨10.1038/s43247-023-00830-5⟩
Communications Earth and Environment
Communications Earth & Environment, 2023, 4 (1), pp.158. ⟨10.1038/s43247-023-00830-5⟩
Communications Earth and Environment
Numerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those models aiming at prediction, validation is a critical step to gain confidence in projections. With a comprehensive review of ~250 models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::745bfe348d9438e9cad6a5def7ad7db1
https://hal.science/hal-04093388/document
https://hal.science/hal-04093388/document
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
Publikováno v:
Biosystems Engineering
Forage quality is essential in livestock farming and has an important role in the functioning of agricultural farms. Access to biochemical variables provides an estimation of the feed value of crop for animal feed at harvest. Near infrared (NIR) spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::329669bcc16dad38f16a62bb1e54a6f8
https://doi.org/10.1016/j.biosystemseng.2022.02.019
https://doi.org/10.1016/j.biosystemseng.2022.02.019
Autor:
Grégoire Vincent, Philippe Verley, Benjamin Brede, Guillaume Delaitre, Eliott Maurent, James Ball, Ilona Clocher, Nicolas Barbier
Publikováno v:
Remote Sensing of Environment, 286
Remote Sensing of Environment 286 (2023)
Remote Sensing of Environment
Remote Sensing of Environment 286 (2023)
Remote Sensing of Environment
Leaf area is a key structural characteristic of forest canopies because of the role of leaves in controlling many biological and physical processes occurring at the biosphere-atmosphere transition. High pulse density Airborne Laser Scanning (ALS) hol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::698ff9dca850255eba4a2a6613901b44
https://research.wur.nl/en/publications/multi-sensor-airborne-lidar-requires-intercalibration-for-consist
https://research.wur.nl/en/publications/multi-sensor-airborne-lidar-requires-intercalibration-for-consist
Publikováno v:
Porcine health management
Porcine health management, BioMed Central, 2022, 8 (1), ⟨10.1186/s40813-022-00257-y⟩
Porcine Health Management
Porcine health management, BioMed Central, 2022, 8 (1), ⟨10.1186/s40813-022-00257-y⟩
Porcine Health Management
BackgroundLeptospirosis is a widespread zoonotic disease caused by pathogenicLeptospiraand is responsible for significant economic porcine livestock losses. Knowledge ofLeptospiraserogroups and their distributions is important for evaluation of the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dd0ebae2f94c372d8f2a3ec7c23264c
https://hal.inrae.fr/hal-03633965/file/s40813-022-00257-y.pdf
https://hal.inrae.fr/hal-03633965/file/s40813-022-00257-y.pdf
Publikováno v:
International Journal of Remote Sensing
In Sub-Saharan Africa, smallholder farms play a key role in agriculture, occupying most of the agricultural land. Design policies for increasing smallholder productivity remains a safe way to establish sustainable food systems and boost local economi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0638d47aecb4eab840f7e151159df9f5
https://doi.org/10.1080/01431161.2021.1993465
https://doi.org/10.1080/01431161.2021.1993465
Autor:
Lo, Adama, Diouf, Abdoul, Diedhiou, Ibrahima, Bassène, Cyrille, Leroux, Louise, Tagesson, Torbern, Fensholt, Rasmus, Hiernaux, Pierre, Mottet, Anne, Taugourdeau, Simon, Ngom, Daouda, Touré, Ibra, Ndao, Babacar, Sarr, Mamadou
Publikováno v:
Frontiers in Environmental Science
Lo, A, Diouf, A A, Diedhiou, I, Bassène, C D E, Leroux, L, Tagesson, T, Fensholt, R, Hiernaux, P, Mottet, A, Taugourdeau, S, Ngom, D, Touré, I, Ndao, B & Sarr, M A 2022, ' Dry season forage assessment across senegalese rangelands using earth observation data ', Frontiers in Environmental Science, vol. 10, 931299 . https://doi.org/10.3389/fenvs.2022.931299
Frontiers in Environmental Science, 2022, 10, 15p. ⟨10.3389/fenvs.2022.931299⟩
Lo, A, Diouf, A A, Diedhiou, I, Bassène, C D E, Leroux, L, Tagesson, T, Fensholt, R, Hiernaux, P, Mottet, A, Taugourdeau, S, Ngom, D, Touré, I, Ndao, B & Sarr, M A 2022, ' Dry season forage assessment across senegalese rangelands using earth observation data ', Frontiers in Environmental Science, vol. 10, 931299 . https://doi.org/10.3389/fenvs.2022.931299
Frontiers in Environmental Science, 2022, 10, 15p. ⟨10.3389/fenvs.2022.931299⟩
Strengthening of feed security in the Sahel is urgently needed given the climate change and growing human population. A prerequisite to this is sustainable use of rangeland forage resources for livestock. Many studies have focused on the assessment o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09e23613472a90d6ac90c2a131a9f4b9
https://doi.org/10.3389/fenvs.2022.931299
https://doi.org/10.3389/fenvs.2022.931299
Autor:
Fonteyn, Davy, Vermeulen, Cédric, Deflandre, Nicolas, Cornélis, Daniel, Lhoest, Simon, Houngbegnon, Fructueux G.A., Doucet, Jean-Louis, Fayolle, Adeline
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 2, Pp 321-336 (2021)
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation
Camera traps (CTs) have been increasingly used for wildlife monitoring worldwide. In the tropics, most CT inventories target wildlife‐friendly sites, and CTs are commonly placed towards wildlife trails. However, it has been argued that this placeme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::012f0713c174e09f08e98ba52a69da07
https://doaj.org/article/88df796cf80247c3a5c516868d43b661
https://doaj.org/article/88df796cf80247c3a5c516868d43b661
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation
International Journal of Applied Earth Observation and Geoinformation, 2022, 112, pp.102884. ⟨10.1016/j.jag.2022.102884⟩
International Journal of Applied Earth Observation and Geoinformation, 2022, 112, pp.102884. ⟨10.1016/j.jag.2022.102884⟩
International audience; Earth observation satellite imagery is increasingly accessible, and has become a key component for vegetation mapping and monitoring. Sentinel-2 satellites acquire optical images with five days' revisit frequency, which is an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c4163779c2db890f73ecbc1d551d216
https://hal.inrae.fr/hal-03747311/file/Chraibi_IJAEOG_2022.pdf
https://hal.inrae.fr/hal-03747311/file/Chraibi_IJAEOG_2022.pdf