Urs Schmidhalter

According to our database, Urs Schmidhalter authored at least 17 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Screening drought-resistant and water-saving winter wheat varieties by predicting yields with multi-source UAV remote sensing data.

Xu Liu, Han Yang, Syed Tahir Ata-UI-Karim, Urs Schmidhalter, Yunzhou Qiao, Baodi Dong, Xiaojun Liu, Yongchao Tian, Yan Zhu, Weixing Cao, Qiang Cao

Comput. Electron. Agric., 2025

2022

Prediction of multi-year winter wheat yields at the field level with satellite and climatological data.

Michael Marszalek, Marco Körner, Urs Schmidhalter

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.

Kurt Heil, Urs Schmidhalter

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.

Romina de Souza, Claudia Buchhart, Kurt Heil, Jürgen Plass, Francisco M. Padilla, Urs Schmidhalter

Remote. Sens., 2021

2020

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

Yuncai Hu, Samuel Knapp, Urs Schmidhalter

Remote. Sens., 2020

Passive reflectance sensing using optimized two- and three-band spectral indices for quantifying the total nitrogen yield of maize.

Hasituya, Fei Li, Salah Elsayed, Yuncai Hu, Urs Schmidhalter

Comput. Electron. Agric., 2020

2019

Temporal and Spectral Optimization of Vegetation Indices for Estimating Grain Nitrogen Uptake and Late-Seasonal Nitrogen Traits in Wheat.

Lukas Prey, Urs Schmidhalter

Sensors, 2019

Sensitivity of Vegetation Indices for Estimating Vegetative N Status in Winter Wheat.

Lukas Prey, Urs Schmidhalter

Sensors, 2019

Theory and Guidelines for the Application of the Geophysical Sensor EM38.

Kurt Heil, Urs Schmidhalter

Sensors, 2019

2018

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

Lukas Prey, Malte von Bloh, Urs Schmidhalter

Sensors, 2018

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

Jan Oehlschläger, Urs Schmidhalter, Patrick Ole Noack

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.

Kurt Heil, Urs Schmidhalter

Sensors, 2017

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

Friederike Gnädinger, Urs Schmidhalter

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.

Jörg Peter Baresel, Pablo Rischbeck, Yuncai Hu, Sebastian Kipp, Gero Barmeier, Bodo Mistele, Urs Schmidhalter

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.

Gero Barmeier, Urs Schmidhalter

Sensors, 2016

2015

Comparison of the EM38 and EM38-MK2 electromagnetic induction-based sensors for spatial soil analysis at field scale.

Kurt Heil, Urs Schmidhalter

Comput. Electron. Agric., 2015

2012

Characterisation of soil texture variability using the apparent soil electrical conductivity at a highly variable site.

Kurt Heil, Urs Schmidhalter

Comput. Geosci., 2012