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of 30
pro vyhledávání: '"Vayssade Jehan-Antoine"'
Autor:
Vayssade, Jehan-Antoine1 (AUTHOR), Bonneau, Mathieu1 (AUTHOR) mathieu.bonneau@inrae.fr
Publikováno v:
Scientific Reports. 8/7/2024, Vol. 14 Issue 1, p1-17. 17p.
Publikováno v:
In Smart Agricultural Technology October 2023 5
Publikováno v:
In Computers and Electronics in Agriculture June 2023 209
Publikováno v:
In Computers and Electronics in Agriculture April 2022 195
Publikováno v:
In Computers and Electronics in Agriculture January 2020 168
Publikováno v:
In Computers and Electronics in Agriculture July 2019 162:767-772
Akademický článek
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Autor:
Vayssade, Jehan-Antoine
The objective of this thesis is to develop a way to detect weeds in a field using multispectral images, in order to determine which weeds should be eliminated during the current crop cycle and more particularly at the early stages. The multi-criteria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::c32b80d856790b1ff9591c16ec7340fa
https://theses.hal.science/tel-03688127
https://theses.hal.science/tel-03688127
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (2261), pp.1-21. ⟨10.3390/rs13122261⟩
Remote Sensing; Volume 13; Issue 12; Pages: 2261
Remote Sensing, Vol 13, Iss 2261, p 2261 (2021)
Remote Sensing, MDPI, 2021, 13 (2261), pp.1-21. ⟨10.3390/rs13122261⟩
Remote Sensing; Volume 13; Issue 12; Pages: 2261
Remote Sensing, Vol 13, Iss 2261, p 2261 (2021)
International audience; The form of a remote sensing index is generally empirically defined, whether by choosing specific reflectance bands, equation forms or its coefficients. These spectral indices are used as preprocessing stage before object dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32eaff3b377e8ad607a26e36d1a9c5cb
Publikováno v:
European Conference on Precisions Livestock Farming (ECPLF)
European Conference on Precisions Livestock Farming (ECPLF), Aug 2019, Cork, Ireland
European Conference on Precisions Livestock Farming (ECPLF), Aug 2019, Cork, Ireland
International audience; This paper presents a system for animal monitoring on pasture that combines a state of the art object detection algorithm named YOLO, and low cost time-lapse cameras. The cameras network is taking pictures of the flock every 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e7a6bece8a027e0ba6c8dd1f2bbd20e4
https://hal.inrae.fr/hal-02737985
https://hal.inrae.fr/hal-02737985