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Franzen, D
Jenks, A.C
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Authors
Sharma, L
Franzen, D
Bu, H
Yost, M.A
Russelle, M.P
Coulter, J.A
Bolstad, P.V
Jenks, A.C
Topics
Type
Oral
Year
2013
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1. Evaluation of Wavelength from Ground-Based Active Optical Sensors for Corn Yield Prediction in North Dakota

Ground-based active-optical (GBAO) crop sensors have been used successfully to predict crop yield when used during early growth stages. The objective of this study was to evaluate two GBAO sensors wavelengths regarding their usefulness under North Dakota corn (Zea mays, L.) growing conditions. Thirty experimental sites were used in North Dakota to conduct N rate trials on corn during 2011 and 2012. All sites were designed as randomized complete blocks with four replications and six nitrogen (N) treatments;...

2. Geographic Trends in Alfalfa Stand Age and Crops that Follow Alfalfa

To gain perspective on alfalfa-annual crop rotations in the upper Midwest, USDA-National Agricultural Statistics Service cropland data layers and Soil Survey Geographic Database layers were combined for six states (North Dakota, South Dakota, Nebraska, Minnesota, Iowa, and Wisconsin) and seven years (2006-2012). Soil texture and geographic location both significantly affected the length of the alfalfa phase (stand age), and alfalfa stand age, soil texture, and year all significantly affected the...