References of "Dumont, Benjamin"
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See detailRegistration and fusion of close-range multimodal wheat images in field conditions
Dandrifosse, Sébastien ULiege; Carlier, Alexis ULiege; Dumont, Benjamin ULiege et al

in Remote Sensing (2021)

Multimodal images fusion has the potential to enrich the information gathered by multisensor plant phenotyping platforms. Fusion of images from multiple sources is, however, hampered by the technical lock ... [more ▼]

Multimodal images fusion has the potential to enrich the information gathered by multisensor plant phenotyping platforms. Fusion of images from multiple sources is, however, hampered by the technical lock of image registration. The aim of this paper is to provide a solution to the registration and fusion of multimodal wheat images in field conditions and at close range. Eight registration methods were tested on nadir wheat images acquired by a pair of red, green and blue (RGB) cameras, a thermal camera and a multispectral camera array. The most accurate method, relying on a local transformation, aligned the images with an average error of 2 mm but was not reliable for thermal images. More generally, the suggested registration method and the preprocesses necessary before fusion (plant mask erosion, pixel intensity averaging) would depend on the application. As a consequence, the main output of this study was to identify four registration-fusion strategies: (i) the REAL-TIME strategy solely based on the cameras’ positions, (ii) the FAST strategy suitable for all types of images tested, (iii) and (iv) the ACCURATE and HIGHLY ACCURATE strategies handling local distortion but unable to deal with images of very different natures. These suggestions are, however, limited to the methods compared in this study. Further research should investigate how recent cutting-edge registration methods would perform on the specific case of wheat canopy. [less ▲]

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See detailProximal sensing for wheat field trials phenotyping
Carlier, Alexis ULiege; Dandrifosse, Sébastien ULiege; Dumont, Benjamin ULiege et al

Conference (2020, October 20)

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See detail2. Variétés - 4. Orge de brasserie
Meurs, Rémi; Carbonnelle, G.; Godin, Bruno et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, September 10)

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See detail2. Variétés - 3. Escourgeon
Mahieu, Olivier; Meurs, Rémi; Jacquemin, Guillaume et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, September 10)

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See detail3. Cultures associées froment d'hiver - pois protéagineux d'hiver: résultats variétaux
Blanchard, Remy ULiege; Pierreux, Jérome ULiege; Dumont, Benjamin ULiege et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, September 10)

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See detail2. Variétés - 2. Froment d'hiver
Meza, Rodrigo; Eylenbosch, Damien; Heens, Benoît et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, September 10)

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See detail1. Implantation de la culture
Blanchard, Remy ULiege; Meza, Rodrigo; Jacquemin, Guillaume et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, September 10)

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See detailLearning Interdisciplinarity and Systems Approaches in Agroecology: Experience with the Serious Game SEGAE
De Graeuwe D'Aoust, Mireille ULiege; Jouan, Julia; Carof, Matthieu et al

in Sustainability (2020), 12(11), 4351

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See detail7. Orges brassicoles
Meurs, Rémi; Stalport, Anouk; Carbonelle, G. et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, February 19)

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See detail3. La fertilisation azotée
Blanchard, Remy ULiege; Meurs, Rémi; Vandenberghe, Christophe ULiege et al

in Bodson, Bernard; De Proft, Michel; Watillon, Bernard (Eds.) Livre Blanc Céréales (2020, February 19)

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See detailImaging Wheat Canopy Through Stereo Vision: Overcoming the Challenges of the Laboratory to Field Transition for Morphological Features Extraction
Dandrifosse, Sébastien ULiege; Bouvry, Arnaud ULiege; Leemans, Vincent ULiege et al

in Frontiers in Plant Science (2020)

Stereo vision is a 3D imaging method that allows quick measurement of plant architecture. Historically, the method has mainly been developed in controlled conditions. This study identified several ... [more ▼]

Stereo vision is a 3D imaging method that allows quick measurement of plant architecture. Historically, the method has mainly been developed in controlled conditions. This study identified several challenges to adapt the method to natural field conditions and propose solutions. The plant traits studied were leaf area, mean leaf angle, leaf angle distribution, and canopy height. The experiment took place in a winter wheat, Triticum aestivum L., field dedicated to fertilization trials at Gembloux (Belgium). Images were acquired thanks to two nadir cameras. A machine learning algorithm using RGB and HSV color spaces is proposed to perform soil-plant segmentation robust to light conditions. The matching between images of the two cameras and the leaf area computation was improved if the number of pixels in the image of a scene was binned from 2560 × 2048 to 1280 × 1024 pixels, for a distance of 1 m between the cameras and the canopy. Height descriptors such as median or 95th percentile of plant heights were useful to precisely compare the development of different canopies. Mean spike top height was measured with an accuracy of 97.1 %. The measurement of leaf area was affected by overlaps between leaves so that a calibration curve was necessary. The leaf area estimation presented a root mean square error (RMSE) of 0.37. The impact of wind on the variability of leaf area measurement was inferior to 3% except at the stem elongation stage. Mean leaf angles ranging from 53° to 62° were computed for the whole growing season. For each acquisition date during the vegetative stages, the variability of mean angle measurement was inferior to 1.5% which underpins that the method is precise. [less ▲]

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See detailChlorophyll a fluorescence in response to phosphorus deficiency and heat stress
El-Mejjaouy, Yousra ULiege; Zeroual, Youssef; El Gharous, Mohamed et al

Poster (2020, January 31)

Photosynthesis and particularly photosystem II (PSII) is considered sensitive to high temperature. Our main objective in this study is to understand the role of phosphorus in heat treatment effects ... [more ▼]

Photosynthesis and particularly photosystem II (PSII) is considered sensitive to high temperature. Our main objective in this study is to understand the role of phosphorus in heat treatment effects alleviation in tomato plant. In this work, the influence in three levels of phosphorus concentration (15, 31 and 60 ppm) assured by two forms of fertilisers (Mono-Ammonium Phosphate (MAP) (11-52-0) and NPK (15-15-15)) on tomato plants growth and heated-leaves treatment responses was investigated. Tomato plants were grown in hydroponic conditions and the effects of different P levels in change of chlorophyll content index, leaves dry weight and total P in root and shoot ratio were analysed. Results present that plants grown in low phosphorus concentration in hydroponic medium showed a decrease in chlorophyll content index, leaves dry weight and total root P/total shoot P ratio. Furthermore, heat treatment at 40 °C for 30 min significantly affects chlorophyll a fluorescence transient shape and photosynthetic performance index parameter (PIABS). We observed that the two forms of fertilisers positively alleviated the detrimental effects of high temperature on leaves of plants grown at high level of phosphorus. According to these results, the role of phosphorus in the alleviation of the effects of temperature on the electron transfer chain is observed. However, the mechanism by which P acts in this protection remains unclear. It is possible that P has a significant action at the level of the PSI, but further studies are necessary to elucidate the direct or indirect actions of P in this heat effect alleviation. Also, a combined action of P, N and other mineral elements is very likely in this protection against the negative effects of high temperatures. [less ▲]

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See detailLa culture associée de blé et de pois protéagineux d'hiver : une possibilité de diversification pour une agriculture durable et respectueuse de l'environnement.
Pierreux, Jérome ULiege; Delaplace, Pierre ULiege; Dumont, Benjamin ULiege et al

in Pierreux, Jérome (Ed.) Phloeme 2020 Biennales de l'innovation céréalière (2020, January 29)

Crops in association cereals - legumes are integrated into the ecologically intensive agriculture approaches. The Crop Production Unit of Gembloux Agro-Bio Tech (ULg, Belgium) study how to optimize the ... [more ▼]

Crops in association cereals - legumes are integrated into the ecologically intensive agriculture approaches. The Crop Production Unit of Gembloux Agro-Bio Tech (ULg, Belgium) study how to optimize the intercropping conduct of winter peas and winter wheat in temperate climate. This optimization is possible with the respect of cultural itineraries, adapted for conventional and organic systems, to take advantage of the complementarity of the two species and to regulate interspecific competitions. They have been developed over the last six years into a research project funded by the Service Public de Wallonie Agriculture. Thanks to a choice of varieties and sowing densities, they take advantage of the ecosystem offered by the combination of the two cultivated plants, to limit the impact of the different bio-aggressors and to use only very small quantities of phytosanitary products and fertilizers. These crops allow producing more safely grains and protein in higher quantities than the two crops separated on the same surface. It meets the expectations of society: to produce better with fewer inputs and in an agroecological system. In Belgium, this crop is currently in the development phase according with the industrial demands for the supply of vegetable protein from sustainable agriculture. After a sorting operation, the superior quality of wheat can be integrated into milling while the pea is used for vegetable protein extraction by bio refining. [less ▲]

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See detailEtude de l’impact de la fertilisation azotée et de la fauche à l’automne sur les différentes productions d’une culture céréalière pérenne (Th. intermedium).
Fagnant, Laura ULiege; Duchêne, Olivier; Bindelle, Jérôme ULiege et al

Poster (2020, January 29)

Th. intermedium could, in the future, be used in European crop rotations. As a perennial cereal crop, the species provides over many years grains, forage and various ecosystem services. Since the species ... [more ▼]

Th. intermedium could, in the future, be used in European crop rotations. As a perennial cereal crop, the species provides over many years grains, forage and various ecosystem services. Since the species has never been studied in Belgium, the evaluation of its diverse performances and their optimization seem essential. Thus, the yields and their components were evaluated according to two agronomic levers (nitrogen fertilization and mowing). This has shown that the nitrogen fertilization of 100 Kg N/ha at tillering is particularly useful in the year of establishment, increasing grain and total dry matter yields at harvest from 0,8 to 1,5T/ha and from 4,3 to 10,6T/ha respectively. In the second year, it was the autumn mowing that had an overall positive effect on production by allowing the valorization of good quality fodder. Future researches will make it possible to refine agronomic knowledge on the crop and to establish a technical itinerary adapted to the multiple services of the species. [less ▲]

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See detailIn-field proximal sensing of septoria tritici blotch, stripe rust and brown rust in winter wheat by means of reflectance and textural features from multispectral imagery
Bebronne, Romain ULiege; Carlier, Alexis ULiege; Meurs, Rémy ULiege et al

in Biosystems Engineering (2020), 197

During its growth, winter wheat (Triticum aestivum L.) can be impacted by multiple stresses involving fungal diseases that are responsible for high yield losses. Enhancing the breeding and the ... [more ▼]

During its growth, winter wheat (Triticum aestivum L.) can be impacted by multiple stresses involving fungal diseases that are responsible for high yield losses. Enhancing the breeding and the identification of resistant cultivars could be achieved by collecting automated and reliable information at the plant level. This study aims to estimate the severity of stripe rust (SR), brown rust (BR) and septoria tritici blotch (STB) in natural conditions and to highlight wavebands of interest, based on images acquired through a multispectral camera embedded on a ground-based platform. The severity of the three diseases has been assessed visually in an agronomic trial involving five wheat cultivars with or without fungicide treatment. An acquisition system using multispectral imagery covering the visible and near-infrared range has been set up at the canopy level. Based on spectral and textural features, estimations of area under disease progress curve (AUDPC) were performed by means of artificial neural networks (ANN) and partial least squares regression (PLSR). Supervised classification was also implemented by means of ANN. The ANN performed better at estimating disease severity with R2 of 0.72, 0.57 and 0.65 for STB, SR and BR respectively. Discrimination in two classes below or above 100 AUDPC reached an accuracy of 81% (κ = 0.60) for STB. This study, which combined the effect of date, cultivar and multiple disease infections, managed to highlight a few wavebands for each disease and took a step further in the development of a machine vision-based approach for the characterisation of fungal diseases in natural conditions. © 2020 [less ▲]

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See detailAn outlook on wheat health in Europe from a network of field experiments
Willocquet, L.; Meza, W. R.; Dumont, Benjamin ULiege et al

in Crop Protection (2020), in press

Wheat disease management in Europe is mainly based on the use of fungicides and the cultivation of resistant cultivars. Improving disease management implies the formal comparison of disease management ... [more ▼]

Wheat disease management in Europe is mainly based on the use of fungicides and the cultivation of resistant cultivars. Improving disease management implies the formal comparison of disease management methods in terms of both crop health and yield levels (attainable yield, actual yield), thus enabling an assessment of yield losses and yield gains. Such an assessment is not available for wheat in Europe. The objective of the analysis reported here is to provide an overview of wheat health and yield performance in field experiments in Europe. Data from field experiments in six European countries (Belgium, France, Germany, Italy, Norway, and Sweden) conducted between 2013 and 2017 were analysed to that aim. Relationships between multiple disease levels, yield, level of cultivar resistance, level of fungicide protection, and weather patterns were assessed. The analyses included 73 field experiments, corresponding to a total of 447 [fungicide protection level x cultivar] combinations. Analyses across the six countries led to ranking the importance of foliar wheat diseases as follows, in decreasing order: leaf blotch (septoria tritici blotch, septoria nodorum blotch, and tan spot), leaf rust, yellow rust, and powdery mildew. Fusarium head blight was observed in France and Italy, and stem rust was sporadically observed in Italy. Disease patterns, crop inputs (fertiliser, fungicides), and yields widely varied within and across countries. Disease levels were affected by the level of fungicide use, by cultivar resistance, as well as by weather patterns. While this analysis enables a better documentation of the status of wheat health in Europe, it also highlights the critical need for policies in Europe enabling a more judicious use of pesticides. First, common standards for field experiments are needed (experimental designs and protocols; disease assessment procedures and scales; references, including reference-susceptible cultivars); second, assessments in farmers' fields – and not in research stations – are necessary; and third, there is a need to use available process-based crop models to estimate attainable yields, and so, yield losses. [less ▲]

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