G4AW: Lessons for Digital soil health advisory in Africa
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This report outlines the outcomes and challenges of the G4AW program, which supported satellite-based services to improve soil fertility management in Africa. It examines the barriers to commercializing soil health advisory services, highlights the r
Shallow depth of field image dataset for image sharpness and fitting results of BPBD and other algorithms
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We provide two folders: (1)The shallow depth of field image data set folder consists of 27 folders from 1 to 27. In folder 1-27, each folder contains two test images and two word files. Img1 is the shallow depth of field image with the best focus
AGRI-EBV-Winter-Summer
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A new generation of computer vision, namely event-based or neuromorphic vision, provides a new paradigm for capturing visual data and the way such data is processed. Event-based vision is a state-of-art technology of robot vision. It is particularly
UAV-based Multispectral & Thermal dataset for exploring the diurnal variability, radiometric & geometric accuracy for precision agriculture
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To explore the diurnal variations, radiometric and geometric accuracy of UAV-based data for precision agriculture, a comprehensive dataset was created in a one-day field campaign (21 June 2017). The multi-sensor data set covers wheat, barley & potato
Maize response to free air CO2 enrichment under ample and restricted water supply: field experimental data and output of a process-based hydrological plant growth model
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This paper contains data from a two year FACE experiment with maize (Zea mays L., cv. ‘Romario’) investigating the interaction of two CO2 concentrations (378, 550 ppm) and two levels of water supply (sufficient: wet, limited: dry) on c
Pan-European multi-crop model ensemble simulations of wheat and grain maize under climate change scenarios
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The simulated data set described in this paper was created by an ensemble of nine different crop models: HERMES (HE), Simplace
