International audienceThis study aims to evaluate spectral information potential of images captured with a UAV, for site specific weed management. The image acquisition chain was modeled in order to compute the digital values of image pixels, according to the field conditions and objects lying on the ground surface projected in the pixels. The object spectra are mixed in the same pixel to estimate the impact of the spatial resolution of the image. The classification potential into crop, weed and soil classes was studied usinf simulations based on the present multispectral sensor characteristics and according to different mixing rates
The use of remote imagery captured by unmanned aerial vehicles (UAV) has tremendous potential for de...
The agricultural framework aims to reduce pesticide use on fields. Weed management, which is highly ...
This study concerns the detection and localization of weed patches in order to improve the knowledg...
International audienceThis study aims to evaluate spectral information potential of images captured ...
International audienceThis study aimed to assess the spectral information potential of images captur...
Timely weed mapping in crop post-emergence situations is a challenging task required for developing ...
In order to optimize the application of herbicides in weed-crop systems, accurate and timely weed ma...
AGROSUPSPEEAGESTADCT1DOCTIn an agroecological context (French Law on the Future of Agriculture), the...
A new aerial platform has risen recently for image acquisition, the Unmanned Aerial Vehicle (UAV). T...
The developments in the use of unmanned aerial vehicles (UAVs) and advanced imaging sensors provide ...
Weeds compete with crops and are hard to differentiate and identify due to their similarities in col...
Weeds compete with crops and are hard to differentiate and identify due to their similarities in col...
This work describes the current status of remote and proximal (on-ground) weed detection systems for...
Le contexte agricole actuel vise à réduire l’utilisation des produits phytosanitaires sur les parcel...
The use of remote imagery captured by unmanned aerial vehicles (UAV) has tremendous potential for de...
The use of remote imagery captured by unmanned aerial vehicles (UAV) has tremendous potential for de...
The agricultural framework aims to reduce pesticide use on fields. Weed management, which is highly ...
This study concerns the detection and localization of weed patches in order to improve the knowledg...
International audienceThis study aims to evaluate spectral information potential of images captured ...
International audienceThis study aimed to assess the spectral information potential of images captur...
Timely weed mapping in crop post-emergence situations is a challenging task required for developing ...
In order to optimize the application of herbicides in weed-crop systems, accurate and timely weed ma...
AGROSUPSPEEAGESTADCT1DOCTIn an agroecological context (French Law on the Future of Agriculture), the...
A new aerial platform has risen recently for image acquisition, the Unmanned Aerial Vehicle (UAV). T...
The developments in the use of unmanned aerial vehicles (UAVs) and advanced imaging sensors provide ...
Weeds compete with crops and are hard to differentiate and identify due to their similarities in col...
Weeds compete with crops and are hard to differentiate and identify due to their similarities in col...
This work describes the current status of remote and proximal (on-ground) weed detection systems for...
Le contexte agricole actuel vise à réduire l’utilisation des produits phytosanitaires sur les parcel...
The use of remote imagery captured by unmanned aerial vehicles (UAV) has tremendous potential for de...
The use of remote imagery captured by unmanned aerial vehicles (UAV) has tremendous potential for de...
The agricultural framework aims to reduce pesticide use on fields. Weed management, which is highly ...
This study concerns the detection and localization of weed patches in order to improve the knowledg...