Mathilde Chen
YOU?
Author Swipe
View article: Correction: Heterogeneous disease progress of black leaf streak disease of banana at the within-leaf scale
Correction: Heterogeneous disease progress of black leaf streak disease of banana at the within-leaf scale Open
View article: A Comparison of Optimization Techniques for Large-scale Allocation of Soybean Crops
A Comparison of Optimization Techniques for Large-scale Allocation of Soybean Crops Open
The optimal allocation of crops to different parcels of land is a problem of paramount practical importance, not only to improve food and feed production, but also to address the challenges posed by climate change. However, this optimizati…
View article: High potential contribution of intercropping to soybean and maize self-sufficiency in Europe
High potential contribution of intercropping to soybean and maize self-sufficiency in Europe Open
The European Union is currently not self-sufficient in soybean and maize. We examine the potential for maize-soybean intercropping to improve the European Union’s self-sufficiency in both crops without cropland expansion and by minimizing …
View article: A Comparison of Optimization Techniques for Large-scale Allocation of Soybean Crops
A Comparison of Optimization Techniques for Large-scale Allocation of Soybean Crops Open
The optimal allocation of crops to different parcels of land is a problem of paramount practical importance, not only to improve food and feed production, but also to address the challenges posed by climate change. However, this optimizati…
View article: Evidence library of meta-analytical literature assessing the sustainability of agriculture – a dataset
Evidence library of meta-analytical literature assessing the sustainability of agriculture – a dataset Open
In the last two decades, an exponentially growing number of meta-analyses (MAs) synthesize thousands of peer-reviewed studies on the environmental impacts of farming practices (FPs). This paper describes the iMAP-FP evidence library, a com…
View article: Multi-Objective Optimization for Large-scale Allocation of Soybean Crops
Multi-Objective Optimization for Large-scale Allocation of Soybean Crops Open
The optimal allocation of crops to different parcels of land is a problem of paramount practical importance, not only to improve production, but also to address the challenges posed by climate change. However, this optimization problem is …
View article: Association between profiles of accelerometer-measured daily movement behaviour and mortality risk: a prospective cohort study of British older adults
Association between profiles of accelerometer-measured daily movement behaviour and mortality risk: a prospective cohort study of British older adults Open
Objectives We identified profiles of wake-time movement behaviours (sedentary behaviours, light intensity physical activity and moderate-to-vigorous physical activity) based on accelerometer-derived features among older adults and then exa…
View article: Comparison of methods to aggregate climate data to predict crop yield: an application to soybean
Comparison of methods to aggregate climate data to predict crop yield: an application to soybean Open
High-dimensional climate data collected on a daily, monthly, or seasonal time step are now commonly used to predict crop yields worldwide with standard statistical models or machine learning models. Since the use of all available individua…
View article: Meta-analytic evidence on effective farming practices for climate change mitigation
Meta-analytic evidence on effective farming practices for climate change mitigation Open
In the context of climate change, high expectations have been put on the agricultural sector for reducing greenhouse gas (GHG) emissions and enhance carbon sequestration. Consequently, a large and growing number of studies have evaluated t…
View article: Leveraging satellite data with machine and deep learning techniques for corn yield and price forecasting
Leveraging satellite data with machine and deep learning techniques for corn yield and price forecasting Open
This study introduces an innovative method for forecasting corn yield and price variations, critical for food security and strategic planning. Unlike traditional methods reliant on pre-harvest production data, which are often difficult to …
View article: Comparison of Methods To Aggregate Climate Data To Predict Crop Yield: An Application to Soybean
Comparison of Methods To Aggregate Climate Data To Predict Crop Yield: An Application to Soybean Open
High-dimensional climate data collected on a daily, monthly or seasonal time step are now commonly used to predict crop yields worldwide with standard statistical models or machine learning models. Since the use of all available individual…
View article: Synthesising results of meta-analyses to inform policy: a comparison of fast-track methods
Synthesising results of meta-analyses to inform policy: a comparison of fast-track methods Open
View article: Evidence map of the benefits of enhanced-efficiency fertilisers for the environment, nutrient use efficiency, soil fertility, and crop production
Evidence map of the benefits of enhanced-efficiency fertilisers for the environment, nutrient use efficiency, soil fertility, and crop production Open
The identification of sustainable fertilisation practices is essential to reduce agriculture’s impact on the environment while insuring sufficient crop production. The use of enhanced efficiency fertilisers (EEFs) is thought to improve nit…
View article: Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study
Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study Open
View article: Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study
Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study Open
View article: Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study
Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study Open
View article: Individual Barriers to an Active Lifestyle at Older Ages Among Whitehall II Study Participants After 20 Years of Follow-up
Individual Barriers to an Active Lifestyle at Older Ages Among Whitehall II Study Participants After 20 Years of Follow-up Open
This study found a large range of individual-level barriers associated with a less active lifestyle in older age, including sociodemographic, behavioral, and health-related factors. These barriers were already evident in midlife, suggestin…
View article: Objectively Measured Total Sedentary Time and Pattern of Sedentary Accumulation in Older Adults: Associations With Incident Cardiovascular Disease and All-Cause Mortality
Objectively Measured Total Sedentary Time and Pattern of Sedentary Accumulation in Older Adults: Associations With Incident Cardiovascular Disease and All-Cause Mortality Open
Background We examined associations of total duration and pattern of accumulation of objectively measured sedentary behavior (SB) with incident cardiovascular disease (CVD) and all-cause mortality among older adults. Methods Total sedentar…
View article: Landscape drivers of pests and pathogens abundance in arable crops
Landscape drivers of pests and pathogens abundance in arable crops Open
Farmers' use of fungicides and insecticides constitutes a major threat to biodiversity that is also endangering agriculture itself. Landscapes could be designed to take advantage of the dependencies of pests, pathogens and their natural en…
View article: Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults
Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults Open
View article: Systematic review of meta-analyses to assess the impacts of farming practices - A methodological framework
Systematic review of meta-analyses to assess the impacts of farming practices - A methodological framework Open
Identifying sustainable agricultural practices to support policy development requires a rigorous synthesis of scientific evidence based on experiments carried out around the world. In agricultural science, meta-analyses (MAs) are now commo…
View article: SMART-PIC - Analyse du risque à partir de données régionales et d’informations locales collectées en cours de saison : application au mildiou de la vigne..
SMART-PIC - Analyse du risque à partir de données régionales et d’informations locales collectées en cours de saison : application au mildiou de la vigne.. Open
The SMART-PIC project aimed at designing tools to help decision making in integrated crop protection, integrating new types of data and innovative formalisms. This article details our methods and the results obtained on the analysis of the…
View article: Delaying the first grapevine fungicide application reduces exposure on operators by half
Delaying the first grapevine fungicide application reduces exposure on operators by half Open
Downy mildew is a severe disease of grapevines treated by repeated fungicide applications during the growing season. The impact of these treatments on human health is currently under scrutiny. Fungicide application long before disease onse…
View article: Forecasting severe grape downy mildew attacks using machine learning
Forecasting severe grape downy mildew attacks using machine learning Open
Grape downy mildew (GDM) is a major disease of grapevine that has an impact on both the yields of the vines and the quality of the harvested fruits. The disease is currently controlled by repetitive fungicide treatments throughout the seas…
View article: Analyse du risque de mildiou de la vigne dans le Bordelais à partir de données régionales et d’informations locales collectées en cours de saison
Analyse du risque de mildiou de la vigne dans le Bordelais à partir de données régionales et d’informations locales collectées en cours de saison Open
L'utilisation de pesticides permet de réduire les pertes de récolte mais génère des impacts environnementaux négatifs. Il est important de fournir des informations précises sur les risques épidémiques concernant les bioagresseurs afin de r…
View article: Higher surfaces of a crop in the landscape increase outbreak risks the following growing season
Higher surfaces of a crop in the landscape increase outbreak risks the following growing season Open
The use of fungicides and insecticides by farmers represents a major threat to biodiversity 1 , endangering agriculture itself 2,3 . Landscapes could be designed 4 to take advantage of the dependencies of pests 5,6 , pathogens 7 and their …
View article: Timing of Grape Downy Mildew Onset in Bordeaux Vineyards
Timing of Grape Downy Mildew Onset in Bordeaux Vineyards Open
Grapevine downy mildew (GDM) is a severe disease of grapevines. Because of the lack of reliable information about the dates of GDM symptom onset, many vine growers begin fungicide treatments early in the season. We evaluate the extent to w…