Deployment of models predicting compressed sward height on Wallonia: results and feedback

peer reviewed ; There is currently high interest in integrating data linked to remote sensing and methods from the machine-learning domain to develop tools to support pasture management. In this context, over the past two years, we have published models predicting the available compressed sward height (CSH) in pastures using Sentinel-1, Sentinel-2, and meteorological data. These scalable models could provide the basis of a decision support system (DSS) available for Walloon farmers. A platform performing the CSH prediction was developed and this paper aims to provide some insights in its predi... Mehr ...