Crop Modelling

Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observations
DOI
Incorporating temperature-adapted growing periods enhances simulation of crop yield sensitivity to temperature in global gridded crop models
DOI
Molecular-physiological model integration revolutionizes cereal flowering prediction
Summary Rapid prediction and control of flowering time is essential for breeding crops resilient to changing climates. Current models …
DOI
Challenges in modelling the impact of frost and heat stress on the yield of cool-season annual grain crops
Frost and heat events at critical growth stages could cause large yield losses. These temperature extremes are increasing in frequency …
DOI
Comprehensive Assessment of PeriodiCT Model for Canopy Temperature Forecasting
Canopy temperature is an important indicator of plants’ water status. The so-called PeriodiCT model was developed to forecast …
DOI
A Bayesian framework for crop model calibration: A case study in the US Corn Belt
DOI