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Pagni, P
Oerke, E
Bu, H
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Authors
Oerke, E
Dehne, H
Steiner, U
Gómez, S
Pagni, P
Ghinassi, G.P
Vieri, M.P
Sharma, L
Bu, H
Ashley, R
Endres, G
Teboh, J
Franzen, D.W
Topics
Precision Crop Protection
Sensor Application in Managing In-season Crop Variability
Sensor Application in Managing In-season CropVariability
Type
Poster
Oral
Year
2012
2010
2014
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Filter results3 paper(s) found.

1. Thermography as Sensor for Downy Mildew on Roses

Downy mildew caused by Peronospora sparsa is considered one of the most important diseases affecting cut roses under glass in the tropic. Under favorable... E. Oerke, H. Dehne, U. Steiner, S. Gómez

2. Optimizing Vineyard Irrigation Through The Automatic Resistivity Profiling (arp) Technology. The Proposal Of A Methodological Approach

 In Tuscany, central Italy, grape cultivation and wine production (i.e., Chianti DOCG, Brunello di Montalcino) are farming activities appreciated worldwide. Differently from the past, irrigation is allowed to meet the intense physiological stress that may occur during seasons affected by the increasing climate variability, in order to guarantee quality product and hence high market profitability in many vines areas. Most vineyards... P. Pagni, G.P. Ghinassi, M.P. Vieri

3. Active Optical Sensor Algorithms For Corn Yield Prediction And In-Season N Application In North Dakota

A recent series of seventy seven field N rate experiments with corn (Zea mays, L.) in North Dakota was conducted. Multiple regression analysis of the characteristics of the data set indicated that segregating the data into those with high clay soils and those with medium textures increased the relationship between N rate and corn yield. However, the nearly linear positive slope relationship in high clay soils and coarser texture soils with lower yield productivity indicated... L. Sharma, H. Bu, R. Ashley, G. Endres, J. Teboh, D.W. Franzen