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Möller, K
Ma, Y
Marjerison, R
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Authors
Göttinger, M
Hinck, S
Möller, K
Ruckelshausen, A
Scholz, C
Song, X
Yang, G
Ma, Y
Wang, R
Yang, C
van Es, H
Sela, S
Marjerison, R
Moebiu-Clune, B
Schindelbeck, R
Moebius-Clune, D
Topics
Engineering Technologies and Advances
Spatial Variability in Crop, Soil and Natural Resources
Decision Support Systems in Precision Agriculture
Type
Oral
Year
2014
2016
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Filter results3 paper(s) found.

1. Automatic Soil Penetrometer Measurements And GIS-Based Documentation With The Autonomous Field Robot Platform BoniRob

For a sustainable agriculture, reliable measurements of soil properties and its interpretation are of highest relevance. Until today most of the measurements are carried out manually or by integrating off-line laboratories. Moreover, the number and density of measurement points is always an important aspect with respect to the statistical significance of the results. In this work a fully automatic measurement system has been developed and applied for the first time with free selectable... M. Göttinger, S. Hinck, K. Möller, A. Ruckelshausen, C. Scholz

2. Spatial and Temporal Variation of Soil Nitrogen Within Winter Wheat Growth Season

This study aims to explore the spatial and temporal variation characteristics of soil ammonium nitrogen and nitrate nitrogen within winter wheat growth season. A nitrogen-rich strip fertilizer experiment with eight different treatments was conducted in 2014. Soil nitrogen samples of 20-30cm depth near wheat root were collected by in-situ Macro Rhizon soil solution collector then soil ammonium nitrogen and nitrate nitrogen content determined by SEAL AutoAnalyzer3 instrument. Classical statistics... X. Song, G. Yang, Y. Ma, R. Wang, C. Yang

3. Comparing Adapt-N to Static N Recommendation Approaches for US Maize Production

Large temporal and spatial variability in soil N availability leads many farmers across the US to over apply N fertilizers in maize (Zea Mays L.) production environments, often resulting in large environmental N losses.  Static N recommendation tools are typically promoted in the US, but new dynamic model-based tools allow for more precise and adaptive N recommendations that account for specific production environments and conditions. This study compares two static N recommendation tools,... H. Van es, S. Sela, R. Marjerison, B. Moebiu-clune, R. Schindelbeck, D. Moebius-clune