Urs Schmidhalter
Orcid: 0000-0003-4106-7124
According to our database1,
Urs Schmidhalter
authored at least 16 papers
between 2012 and 2022.
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Bibliography
2022
Prediction of multi-year winter wheat yields at the field level with satellite and climatological data.
Comput. Electron. Agric., 2022
2021
An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay-Rich Soil.
Sensors, 2021
Effect of Time of Day and Sky Conditions on Different Vegetation Indices Calculated from Active and Passive Sensors and Images Taken from UAV.
Remote. Sens., 2021
2020
Remote. Sens., 2020
Passive reflectance sensing using optimized two- and three-band spectral indices for quantifying the total nitrogen yield of maize.
Comput. Electron. Agric., 2020
2019
Temporal and Spectral Optimization of Vegetation Indices for Estimating Grain Nitrogen Uptake and Late-Seasonal Nitrogen Traits in Wheat.
Sensors, 2019
Sensitivity of Vegetation Indices for Estimating Vegetative N Status in Winter Wheat.
Sensors, 2019
Sensors, 2019
2018
Evaluating RGB Imaging and Multispectral Active and Hyperspectral Passive Sensing for Assessing Early Plant Vigor in Winter Wheat.
Sensors, 2018
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
2017
The Application of EM38: Determination of Soil Parameters, Selection of Soil Sampling Points and Use in Agriculture and Archaeology.
Sensors, 2017
Remote. Sens., 2017
Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat.
Comput. Electron. Agric., 2017
2016
High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing.
Sensors, 2016
2015
Comparison of the EM38 and EM38-MK2 electromagnetic induction-based sensors for spatial soil analysis at field scale.
Comput. Electron. Agric., 2015
2012
Characterisation of soil texture variability using the apparent soil electrical conductivity at a highly variable site.
Comput. Geosci., 2012