Urs Schmidhalter

Orcid: 0000-0003-4106-7124

According to our database1, Urs Schmidhalter authored at least 16 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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
Advancing High-Throughput Phenotyping of Wheat in Early Selection Cycles.
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

Theory and Guidelines for the Application of the Geophysical Sensor EM38.
Sensors, 2019

2018
Evaluating RGB Imaging and Multispectral Active and Hyperspectral Passive Sensing for Assessing Early Plant Vigor in Winter Wheat.
Sensors, 2018

UAV-Based Hyperspectral Sensing for Yield Prediction in Winter Barley.
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

Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs).
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


  Loading...