ATEC (Advanced Technologies for Efficient Crop management)
This collection comprises of data supporting manuscripts generated from the ATEC project (Advanced Technologies for Efficient Crop management), which was a collaboration between the School of GeoSciences and SRUC. ATEC evaluates a range of technologies for providing field-scale information for supporting crop management. The project uses data acquired from ground-based measurements, Unmanned Aerial Vehicles (UAVs) and Earth observation satellites. Through model-data fusion approaches, these datasets are combined with crop growth models to develop a novel decision-support system for diagnosing crop nutrient and yield limitations.
Principal Investigator: Prof. Mat Williams
Co-investigators: Andrew Revill, Anna Florence, Steve Hoad, Andrew Barnes, Bob Rees, Alasdair MacArthur.
Items in this Collection
ATEC manuscript 3 - supporting data: "Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield" Climate, nitrogen (N) and leaf area index (LAI) are key determinants of crop yield. N additions can enhance yield but must be managed efficiently to reduce pollution. Complex process models estimate N status by simulating ...
ATEC manuscript 2 - supporting data: "Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations" Leaf area index (LAI) estimates can inform decision-making in crop management. The European Space Agency’s Sentinel-2 satellite, with observations in the red-edge spectral region, can monitor crops globally at sub-field ...