Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Benoit Mercatoris"'
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:
Journal of Integrative Agriculture, Vol 19, Iss 3, Pp 721-734 (2020)
Mathematical models have been widely employed for the simulation of growth dynamics of annual crops, thereby performing yield prediction, but not for fruit tree species such as jujube tree (Zizyphus jujuba). The objectives of this study were to inves
Externí odkaz:
https://doaj.org/article/05dbce3d046149eaae2cd003bd0024c2
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
Autor:
Njaka Ralaizafisoloarivony, Aurore Degré, Benoit Mercatoris, Angélique Leonard, Dominique Toye, Robert Charlier
Publikováno v:
Proceedings, Vol 30, Iss 1, p 59 (2020)
Crack formation and development have been a general concern in agricultural science. Cracks contribute to soil aeration, aggregate formation, and easy root penetration. However, cracks accelerate soil desiccation, allow deep infiltration of pesticide
Externí odkaz:
https://doaj.org/article/14c15e04bc1749d1a61e5d6333f614da
Autor:
Tiecheng Bai, Shanggui Wang, Wenbo Meng, Nannan Zhang, Tao Wang, Youqi Chen, Benoit Mercatoris
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1945 (2019)
In order to enhance the simulated accuracy of jujube yields at the field scale, this study attempted to employ SUBPLEX algorithm to assimilate remotely sensed leaf area indices (LAI) of four key growth stages into a calibrated World Food Studies (WOF
Externí odkaz:
https://doaj.org/article/0d565bac075646f68da6a1a21d5ab392
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1119 (2019)
Few studies were focused on yield estimation of perennial fruit tree crops by integrating remotely-sensed information into crop models. This study presented an attempt to assimilate a single leaf area index (LAI) near to maximum vegetative developmen
Externí odkaz:
https://doaj.org/article/b7cf206ec7974287b7b7991e28456630
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
Autor:
Yousra El-Mejjaouy, Laila Belmrhar, Youssef Zeroual, Benjamin Dumont, Benoît Mercatoris, Abdallah Oukarroum
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0286046 (2023)
Phosphorus deficiency induces biochemical and morphological changes which affect crop yield and production. Prompt fluorescence signal characterizes the PSII activity and electron transport from PSII to PSI, while the modulated light reflection at 82
Externí odkaz:
https://doaj.org/article/370ab2ba33174c66bff4cb0ce0551651
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
Publikováno v:
Agriculture, Vol 12, Iss 6, p 892 (2022)
Yield prediction is of great significance in agricultural production. Remote sensing technology based on unmanned aerial vehicles (UAVs) offers the capacity of non-intrusive crop yield prediction with low cost and high throughput. In this study, a wi
Externí odkaz:
https://doaj.org/article/6587183cef4047598f3d3f17ae5124dd