Benjamin Dumont
A5059928637- Climate change impacts on agriculture
- Crop Yield and Soil Fertility
- Greenhouse Technology and Climate Control
- Plant Water Relations and Carbon Dynamics
- Soil Carbon and Nitrogen Dynamics
- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Plant responses to elevated CO2
- Agronomic Practices and Intercropping Systems
- Weed Control and Herbicide Applications
- Smart Agriculture and AI
- Wheat and Barley Genetics and Pathology
- Spectroscopy and Chemometric Analyses
- Agriculture and Biological Studies
- Agricultural Economics and Policy
- Sustainable Agricultural Systems Analysis
- Plant nutrient uptake and metabolism
- Soil Geostatistics and Mapping
- Bioenergy crop production and management
- Rice Cultivation and Yield Improvement
- Horticultural and Viticultural Research
- Remote Sensing and Land Use
- Agricultural Productivity and Crop Improvement
- Soil and Water Nutrient Dynamics
- Target Tracking and Data Fusion in Sensor Networks
University of Liège
2016-2025
Gembloux Agro-Bio Tech
2016-2025
Institut Charles Viollette
2023-2024
UMR Transfrontalière BioEcoAgro
2024
École Polytechnique
2023
AgroBio
2016-2019
Michigan State University
2015-2017
Terra
2017
Unité Mixte de Recherche sur les Herbivores
2016
W.K. Kellogg Foundation
2016
Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that often overlooked in efforts to improve crop production. We tested and applied a 32-multi-model ensemble simulate global yield changing climate. Potential benefits elevated atmospheric CO2 by 2050 on are likely be negated impacts from rising temperature changes rainfall, but with considerable disparities between regions. Grain yields expected lower more variable most low-rainfall regions,...
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired various acquisition platforms 7 countries/institutions. With an associated competition hosted Kaggle, GWHD_2020 successfully attracted attention both the computer vision agricultural science communities. From this first experience, a few avenues for improvements have been identified regarding data size, head diversity, label reliability. To address...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 65:87-105 (2015) - DOI: https://doi.org/10.3354/cr01322 Contribution Special: 'Modelling climate change impacts for food security' Temperature and precipitation effects on wheat yield across a European transect: crop model ensemble analysis using impact response surfaces N. Pirttioja1,*, T. R. Carter1, S. Fronzek1, M. Bindi2, H....
Efforts to limit global warming below 2°C in relation the pre-industrial level are under way, accordance with 2015 Paris Agreement. However, most impact research on agriculture date has focused impacts of >2°C mean crop yields, and many previous studies did not focus sufficiently extreme events yield interannual variability. Here, latest climate scenarios from Half a degree Additional warming, Prognosis Projected Impacts (HAPPI) project, we evaluated Agreement range (1.5 2.0°C above period)...
A recent innovation in assessment of climate change impact on agricultural production has been to use crop multimodel ensembles (MMEs). These studies usually find large variability between individual models but that the ensemble mean (e-mean) and median (e-median) often seem predict quite well. However, few have specifically concerned with predictive quality those predictors. We ask what is e-mean e-median, how does depend characteristics. Our empirical results are based five MME applied...
Abstract Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, best performing doubled haploid (DH) crosses an increased canopy photosynthesis from field experiments literature were extrapolated global scale a multi-model ensemble process-based crop models estimate production. The DH...
Process-based soil-crop models are widely used in agronomic research. They major tools for evaluating climate change impact on crop production. Multi-model simulation studies show a wide diversity of results among models, implying that very uncertain. A path to improving is propose improved calibration practices applicable. This study proposes an innovative generic protocol. The two innovations concern the treatment multiple output variables and choice parameters estimate, both which based...
Abstract Mechanical weeding, such as harrowing, offers a promising approach for reaching the European Union's goal of 50% reduction in pesticide use. To assess its potential, used alone or with foliar‐applied herbicides without residual activity, 6‐year study was conducted on winter wheat cultivated loamy soil under temperate conditions (Belgium). Weed density dynamics and percentage weed control (WC) were measured compared between tillering (BBCH 27‐29) canopy closure 39‐75). Weeds...
Computer vision is increasingly used in farmers' fields and agricultural experiments to quantify important traits related crop performance. In particular, imaging setups with a sub-millimeter ground sampling distance enable the detection tracking of plant features, including size, shape color. While today's AI-driven foundation models segment almost any object an image, they still fail perform effectively for complex canopies. To improve model performance wheat, global wheat dataset...
Crop growth simulation models can differ greatly in their treatment of key processes and hence response to environmental conditions. Here, we used an ensemble 26 process-based wheat applied at sites across a European transect compare sensitivity changes temperature (−2 +9°C) precipitation (−50 +50%). Model results were analysed by plotting them as impact surfaces (IRSs), classifying the IRS patterns individual model simulations, describing these classes analysing factors that may explain...
Core Ideas SOC decline, due to increased temperatures, reduces wheat and maize yields globally. CO 2 increase 540 ppm partially compensates yield losses temperatures. Accounting for soil feedbacks is critical when evaluating climate change impacts on crop yield. A omission from impact studies the interaction between organic carbon (SOC), nitrogen (N) availability, dioxide (CO ). We used a multimodel ensemble predict effects of N under different scenarios temperatures concentrations ( Zea...
Abstract A major effect of environment on crops is through crop phenology, and therefore, the capacity to predict phenology for new environments important. Mechanistic models are a tool such predictions, but calibration difficult there no consensus best approach. We propose an original, detailed approach models, which we refer as protocol. The protocol covers all steps in workflow, namely choice default parameter values, objective function, parameters estimate from data, calculation optimal...
Society is increasingly demanding a more sustainable management of agro-ecosystems in context climate change and an ever growing global population. The fate crop residues one the important aspects under debate, since it represents unneglectable quantity organic matter which can be kept or removed from agro-ecosystem. topic residue not new, but need for conclusion on impact agro-ecosystem linked to local pedo-climatic conditions has become apparent with increasing amount studies showing...