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Korsaeth, A
Klein, R.N
Kieffer, D
King, W
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Authors
Isaksson, T
Korsaeth, A
Øvergaard, S
Pullanagari, R
Yule, I
Tuohy, M
Hedley, M
King, W
Dynes, R
Klein, R.N
Golus, J.A
Kieffer, D
King, W
Dynes, R
Laurenson, S
Zydenbos, S
MacAuliffe, R
Taylor, A
Manning, M
Roberts, A
White, M
Topics
Remote Sensing Applications in Precision Agriculture
Proximal Sensing in Precision Agriculture
Guidance, Auto Steer, and GPS Systems
Precision A-Z for Practitioners
Site-Specific Pasture Management
Type
Poster
Oral
Year
2012
2010
2018
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Filter results5 paper(s) found.

1. Using GPS-RTK In Crop Variety And Hybrid Evaluations

The traditional methods used by many to conduct research in crop variety and hybrid evaluations is to blank plant the area, flag the area, or use a physical marker. All of these have disadvantages. In blank planting it may be difficult to plant exactly in the same rows, and can dry the soil and affect seed germination if soil water is limited. Blank planting also destroys crop residues and with skip-row residues are destroyed in the unplanted rows.This method is used for many plots in cooperator’s... R.N. Klein, J.A. Golus

2. Effect Of Sub-surface Drip Irrigation And Shade On Soil Moisture Uniformity In Residential Turf

Sub-surface irrigation in turf has advantages over traditional sprinkler systems. Evapotranspiration is reduced and water applied below the root zone promotes deeper root growth. Auditing such applications requires measurement of root-zone soil moisture. Data was taken in 2008 and 2009 on a private lawn in northern California that had just been rebuilt to include both sub-surface drip and overhead spray irrigation systems. A portable wave reflectometer was used to take geo-referenced soil moisture... D. Kieffer

3. Remote NIR-Sensor Fusion with Weather Data for Improved Prediction of Wheat Yield Models

Prediction models for grain yield based on remote sensing data are commonly shown to perform reasonably well for one single cropping season. The model performances often drop, however, when data from more years is included. This may be caused by biased data, resulting from diverging growth conditions from year to year, which affects... T. Isaksson, A. Korsaeth, S. Øvergaard

4. Proximal Sensing Tools to Estimate Pasture Quality Parameters.

To date systems for estimating pasture quality have relied on destructive sampling with measurement completed in a laboratory which was very time consuming and expensive. Results were often not received until after the pasture was grazed which defeated the point of the measurement, as farmers required the information to make decisions about grazing strategies to effectively... R. Pullanagari, I. Yule, M. Tuohy, M. Hedley, W. King, . Dynes

5. Through the Grass Ceiling: Using Multiple Data Sources on Intra-Field Variability to Reset Expectations of Pasture Production and Farm Profitability

Intra-field variability has received much attention in arable and horticultural contexts. It has resulted in increased profitability as well as reduced environmental footprint. However, in a pastoral context, the value of understanding intra-field variability has not been widely appreciated. In this programme, we used available technologies to develop multiple data layers on multiple fields within a dairy farm. This farm was selected as it was already performing at a high level, with well-developed... W. King, R. Dynes, S. Laurenson, S. Zydenbos, R. Macauliffe, A. Taylor, M. Manning, A. Roberts, M. White