Exposure to pesticides and risk of childhood cancer: a meta-analysis of recent epidemiological studies
F Vinson, M Merhi, I Baldi, H Raynal… - Occupational and …, 2011 - oem.bmj.com
Objectives The authors performed a meta-analysis of case–control and cohort studies to
clarify the possible relationship between exposure to pesticides and childhood cancers …
clarify the possible relationship between exposure to pesticides and childhood cancers …
Future area expansion outweighs increasing drought risk for soybean in Europe
C Nendel, M Reckling, P Debaeke… - Global Change …, 2023 - Wiley Online Library
Abstract The European Union is highly dependent on soybean imports from overseas to
meet its protein demands. Individual Member States have been quick to declare self …
meet its protein demands. Individual Member States have been quick to declare self …
An open platform to build, evaluate and simulate integrated models of farming and agro-ecosystems
JE Bergez, P Chabrier, C Gary, MH Jeuffroy… - … Modelling & Software, 2013 - Elsevier
Due to significant changes in agro-ecological contexts, farmers need new solutions to
produce goods. Modelling complements field experiments in the design of new farming …
produce goods. Modelling complements field experiments in the design of new farming …
Spatial sampling of weather data for regional crop yield simulations
Field-scale crop models are increasingly applied at spatio-temporal scales that range from
regions to the globe and from decades up to 100 years. Sufficiently detailed data to capture …
regions to the globe and from decades up to 100 years. Sufficiently detailed data to capture …
A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France
DC Corrales, C Schoving, H Raynal, P Debaeke… - … and Electronics in …, 2022 - Elsevier
Empirical and process-based models are currently used to predict crop yield at field and
regional levels. A mechanistic model named STICS (Multidisciplinary Simulator for Standard …
regional levels. A mechanistic model named STICS (Multidisciplinary Simulator for Standard …
Adaptive and dynamic decision-making processes: A conceptual model of production systems on Indian farms
Farming systems are complex structures with several dimensions interacting in a dynamic
and continuous manner around farmers' management strategies. This complexity peaks in …
and continuous manner around farmers' management strategies. This complexity peaks in …
Evolution of the STICS crop model to tackle new environmental issues: new formalisms and integration in the modelling and simulation platform RECORD
JE Bergez, H Raynal, M Launay, N Beaudoin… - … Modelling & Software, 2014 - Elsevier
To address new environmental and social issues, crop models need to widen their scope
and be linked to other tools. The crop model STICS was encapsulated in the modelling …
and be linked to other tools. The crop model STICS was encapsulated in the modelling …
MDE in practice for computational science
The complex problems that computational science addresses are more and more benefiting
from the progress of computing facilities (simulators, librairies, accessible languages,..) …
from the progress of computing facilities (simulators, librairies, accessible languages,..) …
A dynamic model for water management at the farm level integrating strategic, tactical and operational decisions
Farming systems are complex and have several dimensions that interact in a dynamic and
continuous manner depending on farmers' management strategies. This complexity peaks in …
continuous manner depending on farmers' management strategies. This complexity peaks in …
Effects of input data aggregation on simulated crop yields in temperate and Mediterranean climates
GR Maharjan, H Hoffmann, H Webber… - European journal of …, 2019 - Elsevier
Soil-crop models are used to simulate ecological processes from the field to the regional
scale. Main inputs are soil and climate data in order to simulate model response variables …
scale. Main inputs are soil and climate data in order to simulate model response variables …