International audiencePre-harvest yield forecasting is a critical challenge for producers, especially for large agricultural areas. During previous decades, numerous crop models were developed to predict crop growth and yield at daily time, most often for wheat or maize, and also for grasslands. Crop models require several input parameters that describe soil properties (e.g. field capacity), plant characteristics (e.g. maximal rooting depth) and management options (e.g. sowing dates, irrigation and harvest dates), which are referred to as the soil, plant and management families of parameters. Remote sensing technology has been extensively applied to identify spatially distributed values of some of the accessible parameters in the soil, plan...
Precise estimation of crop yield is crucial for ensuring food security, managing the supply chain, o...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceTh...
The challenge of converting global agricultural food, fiber and energy crop cultivation into an ecol...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audiencePr...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceTh...
Crop growth models simulate the relationship between plants and the environment to predict the expec...
Methods for the application of crop growth models, remote sensing and their integrative use for yiel...
Methods for the application of crop growth models, remote sensing and their integrative use for yiel...
International audiencePredicting grain yield (GY) and quality (oil, protein) a few weeks before harv...
Remote Sensing (RS) based monitoring provides opportunities to acquire timely and reliable informati...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...
Remote sensing techniques development have provided the opportunity for optimizing yields in the agr...
Wheat consumption has become more widespread and is increasing in South Africa especially in the urb...
International audienceTimely monitoring of above-ground biomass (AGB) is essential for indicating th...
Precise estimation of crop yield is crucial for ensuring food security, managing the supply chain, o...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceTh...
The challenge of converting global agricultural food, fiber and energy crop cultivation into an ecol...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audiencePr...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceTh...
Crop growth models simulate the relationship between plants and the environment to predict the expec...
Methods for the application of crop growth models, remote sensing and their integrative use for yiel...
Methods for the application of crop growth models, remote sensing and their integrative use for yiel...
International audiencePredicting grain yield (GY) and quality (oil, protein) a few weeks before harv...
Remote Sensing (RS) based monitoring provides opportunities to acquire timely and reliable informati...
Crop yield forecasting models are needed to help farmers and decision makers cheaply detect crop co...
Remote sensing techniques development have provided the opportunity for optimizing yields in the agr...
Wheat consumption has become more widespread and is increasing in South Africa especially in the urb...
International audienceTimely monitoring of above-ground biomass (AGB) is essential for indicating th...
Precise estimation of crop yield is crucial for ensuring food security, managing the supply chain, o...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceTh...
The challenge of converting global agricultural food, fiber and energy crop cultivation into an ecol...