Add to ORKGInternational audienceThe early stages of growth for two winter wheat cultivars, Apache and Rubisko, were studied in field experiments based on destructive measurements and visible images. They cover the period from the three-leaf stage to tillering at four sampling dates. Maps of fractional vegetation cover (FVC) were established for both the crops and weeds. FVC was automatically determined from the images with an SVM-RBF classifier, using Bag of Visual Words vectors as inputs. The heterogeneity in populations and crop-weed competition were studied using descriptive and inferential statistics. The impact of weeds on crops was evaluated by comparing the results with simulations under unstressed conditions
The main drawback by using crop soil cover in weed harrowing research is that it is assessed by visu...
International audienceA semi-automatic system was developed to monitor micro-plots of wheat cultivar...
Cereal plant density is a relevant agronomic trait in agriculture and high-throughput phenotyping of...
The early stages of growth for two winter wheat cultivars, Apache and Rubisko, were studied in field...
International audienceTo evaluate the impact of weeds on crops, precise identification and early pre...
International audienceIn precision agriculture, the development of proximal imaging systems embedded...
International audienceThis preliminary study was designed to test an image approach (RGB images) to ...
International audienceThis study combines proximal sensing technology based on a mobile visible imag...
This in-house-built image dataset consists of 10810 weed images captured through a dedicated phenoty...
Two field experiments were carried out in winter wheat to determine the optimal intensity and timing...
Prod 2019-4c pole BAP Pole EA SPE GESTAD GEAPSI AGROSUPThis preliminary study was designed to test a...
International audienceWeed control is essential for crop quality and yield. Usually, the main factor...
Background Robust segmentation of canopy cover (CC) from large amounts of images taken under differ...
Spike population density is an extremely important contributor to grain yield in wheat. Currently sp...
The main drawback by using crop soil cover in weed harrowing research is that it is assessed by visu...
International audienceA semi-automatic system was developed to monitor micro-plots of wheat cultivar...
Cereal plant density is a relevant agronomic trait in agriculture and high-throughput phenotyping of...
The early stages of growth for two winter wheat cultivars, Apache and Rubisko, were studied in field...
International audienceTo evaluate the impact of weeds on crops, precise identification and early pre...
International audienceIn precision agriculture, the development of proximal imaging systems embedded...
International audienceThis preliminary study was designed to test an image approach (RGB images) to ...
International audienceThis study combines proximal sensing technology based on a mobile visible imag...
This in-house-built image dataset consists of 10810 weed images captured through a dedicated phenoty...
Two field experiments were carried out in winter wheat to determine the optimal intensity and timing...
Prod 2019-4c pole BAP Pole EA SPE GESTAD GEAPSI AGROSUPThis preliminary study was designed to test a...
International audienceWeed control is essential for crop quality and yield. Usually, the main factor...
Background Robust segmentation of canopy cover (CC) from large amounts of images taken under differ...
Spike population density is an extremely important contributor to grain yield in wheat. Currently sp...
The main drawback by using crop soil cover in weed harrowing research is that it is assessed by visu...
International audienceA semi-automatic system was developed to monitor micro-plots of wheat cultivar...
Cereal plant density is a relevant agronomic trait in agriculture and high-throughput phenotyping of...