Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alexis Carl"'
Autor:
Alexis Carl, Emily Pasman, Michael J. Broman, Jamey J. Lister, Elizabeth Agius, Stella M. Resko
Publikováno v:
Drug and Alcohol Dependence Reports, Vol 9, Iss , Pp 100201- (2023)
Externí odkaz:
https://doaj.org/article/c55009fef8a0425983d4f4ff80fdc8eb
Autor:
Alexis Carl, Emily Pasman, Michael J. Broman, Jamey J. Lister, Elizabeth Agius, Stella M. Resko
Publikováno v:
Drug and Alcohol Dependence Reports, Vol 6, Iss , Pp 100138- (2023)
Background: Medications for Opioid Use Disorder (MOUD) are efficacious, however only one-third of individuals with an opioid use disorder (OUD) enter into treatment. Low rates of MOUD utilization are partially due to stigma. This study examines provi
Externí odkaz:
https://doaj.org/article/6332d3aa13904eb1911397a55b772a09
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Estimation of biophysical vegetation variables is of interest for diverse applications, such as monitoring of crop growth and health or yield prediction. However, remote estimation of these variables remains challenging due to the inherent complexity
Externí odkaz:
https://doaj.org/article/280fff58c8b440af93ba9742ec7104e2
Publikováno v:
Plant Phenomics, Vol 5 (2023)
The utilization of high-throughput in-field phenotyping systems presents new opportunities for evaluating crop stress. However, existing studies have primarily focused on individual stresses, overlooking the fact that crops in field conditions freque
Externí odkaz:
https://doaj.org/article/dbfb08fcf4d543e296c50e0a4b14122e
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
The automatic segmentation of ears in wheat canopy images is an important step to measure ear density or extract relevant plant traits separately for the different organs. Recent deep learning algorithms appear as promising tools to accurately detect
Externí odkaz:
https://doaj.org/article/9bcc01a2156c4998a70208335f4117cd
Autor:
Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kirchgessner, Helge Aasen, Andreas Hund, Pouria Sadhegi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benjamin Dumont, Benoit Mercatoris, Byron Evers, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lillemo, Jesse Poland, Scott Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions. With an associated competition hosted in
Externí odkaz:
https://doaj.org/article/acd6363f47b04262b456b55f5e2a3ba9
Publikováno v:
Sensors, Vol 22, Iss 9, p 3342 (2022)
The reflectance of wheat crops provides information on their architecture or physiology. However, the methods currently used for close-range reflectance computation do not allow for the separation of the wheat canopy organs: the leaves and the ears.
Externí odkaz:
https://doaj.org/article/e58a074a69c7432d93f90cfcbb18023e
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1380 (2021)
Multimodal images fusion has the potential to enrich the information gathered by multi-sensor plant phenotyping platforms. Fusion of images from multiple sources is, however, hampered by the technical lock of image registration. The aim of this paper
Externí odkaz:
https://doaj.org/article/84bde26d3fd54a829da3056e05779344
Publikováno v:
Sensors, Vol 20, Iss 11, p 3128 (2020)
This paper presents major improvements to a multimodal, adjustable sensitivity skin sensor module. It employs a geomagnetic 3-axis Hall effect sensor to measure changes in the position of a magnetic field generated by an electromagnet. The electromag
Externí odkaz:
https://doaj.org/article/00cbb28b7d724a9a8901215e62798710