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Veröffentlichungen der HSWT

Die chronologische Liste zeigt aktuelle Veröffentlichungen aus dem Forschungsbetrieb der Hochschule Weihenstephan-Triesdorf. Zuständig ist das Zentrum für Forschung und Wissenstransfer (ZFW).

8 Ergebnisse

  • Dr. Fabian Weckesser, Marcus Albrecht, Prof. Dr. Kurt-Jürgen Hülsbergen, Prof. Dr. Frank Leßke

    Nährstoffeffiziente Fruchtfolgen durch erfolgreiches Leguminosen-Gras Management (2024) FIBL Deutschland e.V. (Hg.): Proceedings der 17. Wissenschaftstagung Ökologischer Landbau. 5.-8. März 2024. Gießen .

  • Javier Reyes, Prof. Dr. Mareike Ließ

    • Berechtigungen:  Open Access
    • Berechtigungen:  Peer Reviewed

    Spectral Data Processing for Field-Scale Soil Organic Carbon Monitoring (2024) Sensors 24 . DOI: 10.3390/s24030849

    Carbon sequestration in soils under agricultural use can contribute to climate change mitigation.Spatial–temporal soil organic carbon (SOC) monitoring requires more efficient data acquisition.This study aims to evaluate the potential of spectral on-the-go proximal measurements toserve these needs. The study was conducted as a long-term field experiment. SOC values rangedbetween 14 and 25 g kg−1 due to different fertilization treatments. Partial least squares regressionmodels were built based on the spectral laboratory and field data collected with two spectrometers(site-specific and on-the-go). Correction of the field data based on the laboratory data was done bytesting linear transformation, piecewise direct standardization, and external parameter orthogonalization(EPO). Different preprocessing methods were applied to extract the best possible informationcontent from the sensor signal. The models were then thoroughly interpreted concerning spectralwavelength importance using regression coefficients and variable importance in projection scores.The detailed wavelength importance analysis disclosed the challenge of using soil spectroscopy forSOC monitoring. The use of different spectrometers under varying soil conditions revealed shifts inwavelength importance. Still, our findings on the use of on-the-go spectroscopy for spatial–temporalSOC monitoring are promising.
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  • Nikita Genze, Wouter K Vahl, Jennifer Groth, Maximilian Wirth, Michael Grieb, Prof. Dr. Dominik Grimm

    • Berechtigungen:  Open Access
    • Berechtigungen:  Peer Reviewed

    Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision (2024) Scientific Data 11 . DOI: 10.1038/s41597-024-02945-6

    Sustainable weed management strategies are critical to feeding the world’s population while preserving ecosystems and biodiversity. Therefore, site-specific weed control strategies based on automation are needed to reduce the additional time and effort required for weeding. Machine vision-based methods appear to be a promising approach for weed detection, but require high quality data on the species in a specific agricultural area. Here we present a dataset, the Moving Fields Weed Dataset (MFWD), which captures the growth of 28 weed species commonly found in sorghum and maize fields in Germany. A total of 94,321 images were acquired in a fully automated, high-throughput phenotyping facility to track over 5,000 individual plants at high spatial and temporal resolution. A rich set of manually curated ground truth information is also provided, which can be used not only for plant species classification, object detection and instance segmentation tasks, but also for multiple object tracking.
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  • Prof. Dr. Kurt-Jürgen Hülsbergen, Prof. Dr. Frank Leßke, Franz-Xaver Maidl, Martin Mittermayer, Johannes Schuster, Andreas Kern, Ludwig Hagn, Dr. Fabian Weckesser

    Minderung von Nitratausträgen durch digitales Stickstoffmanagement und sensorgestützte Düngung in der Modellregion Burghausen/Burgkirchen (2024) Weihenstephaner Schriften Ökologischer Landbau und Pflanzenbausysteme Band 17 .

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Zentrum für Forschung und Wissenstransfer - Lageplan in Weihenstephan an der HSWT

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Hochschule Weihenstephan-Triesdorf
Zentrum für Forschung und Wissenstransfer
Gebäude H21
Am Staudengarten 9
85354 Freising

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