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Weersink, A
Hutchinson, A
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Authors
Moss, J.Q
Pan, X
Tian, Y
Hutchinson, A
Meyer-Aurich, A
Gandorfer, M
Weersink, A
Wagner, P
Pannell, D
Weersink, A
Gandorfer, M
Topics
Precision Horticulture
Optimizing Farm-level use of Spatial Technologies
Site-Specific Nutrient, Lime and Seed Management
Type
Poster
Oral
Year
2010
2018
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1. Normalized Difference Vegetative Index For Evaluating Turfgrass Color: A Comparison Of Two Handheld Devices

The normalized difference vegetative index (NDVI) is a commonly used light reflectance index in agriculture. For turfgrass research, color and herbicide phytotoxicity have historically been subjectively rated by human evaluators. Prior research has related NDVI to creeping bentgrass (Agrostis stolonifera L.) (R2 = 0.50) and tall fescue (Festuca arundinacea Schreb) (R2 = 0.80) color, and bermudagrass [Cynodon dactylon... J.Q. Moss, X. Pan, Y. Tian, A. Hutchinson

2. Economic Potential Of Monitoring Protein Content At Harvest And Blending Wheat Grain

  Precision agriculture has been primarily focused on the management of inputs but recently developed technologies that monitor grain quality at harvest create the opportunity to manage outputs spatially.  Provided specific product qualities achieve higher prices, monitoring, separation and blending may be economically justified. This paper analyzes the potential economic effects of blending different grain qualities at the farm level. We estimated sub-field specific... A. Meyer-aurich, M. Gandorfer, A. Weersink, P. Wagner

3. Flat Payoff Functions and Site-Specific Crop Management

Within the neighbourhood of any economically “optimal” management system, there is a set of alternative systems that are only slightly less attractive than the optimum. Often this set is large; in other words, the payoff function is flat within the vicinity of the optimum. This has major implications for the economics of variable-rate site-specific crop management. The flatter the payoff function, the lower the benefits of precision in the adjustment of input rates spatially within... D. Pannell, A. Weersink, M. Gandorfer