Amélie Mathieu

Crop yield prediction using machine learning: A systematic literature review

Current status and future challenges in implementing and upscaling vertical farming systems

Assimilation of remote sensing into crop growth models: Current status and perspectives

Two decades of functional–structural plant modelling: now addressing fundamental questions in systems biology and predictive ecology

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Data assimilation to reduce uncertainty of crop model prediction with Convolution Particle Filtering

Yield gaps in oil palm: A quantitative review of contributing factors

Forecasting yield by integrating agrarian factors and machine learning models: A survey

Simulation of inflorescence dynamics in oil palm and estimation of environment-sensitive phenological phases: a model based analysis

Oscillations in Functional Structural Plant Growth Models

Characterization of the interactions between architecture and source–sink relationships in winter oilseed rape (Brassica napus) using the GreenLab model

An efficient computational method for global sensitivity analysis and its application to tree growth modelling

Variations in leaf mass per area according to N nutrition, plant age, and leaf position reflect ontogenetic plasticity in winter oilseed rape (Brassica napus L.)

Mixed-Effects Estimation in Dynamic Models of Plant Growth for the Assessment of Inter-individual Variability