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Price, R
Peterson, G
McVeagh, P.J
Phillips, L
Metcalf, S
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Authors
Price, R
Johnson, R.M
Viator, R.P
Phillips, L
Peterson, G
Westfall, D
Sherrod, L.A
Dhillon, R
Upadhyaya, S
Roach, J
Crawford, K
Lampinen, B
Metcalf, S
Rojo, F
Yule, I.J
Grafton, M.C
Willis, L.A
McVeagh, P.J
Yule, I.J
Pullanagari, R.R
Kereszturi, G
Irwin, M.E
McVeagh, P.J
Cushnahan, T
White, M
Topics
Engineering Technologies and Advances
eXtension: Precision Agriculture on the Internet
Precision Carbon Management
Sensor Application in Managing In-season CropVariability
Remote Sensing Applications in Precision Agriculture
Type
Oral
Year
2010
2014
2016
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Filter results6 paper(s) found.

1. Optical Based Sugarcane Yield Monitors

Several different optical sensors were investigated to detect sugarcane yield on a billet type sugarcane harvester. These sensors included an over-head optical sensor and a below-the-conveyor sensor. Both sensors indicated mass flow rate from a volume measurement of the cane on the conveyor slats. Both systems gave good results with linear line calibration equations and adjusted R-square values from 0.96 to 0.97. Weight wagon weights in the 0.6 to 1.6 metric ton range were estimated to 7.5% on... R. Price, R.M. Johnson, R.P. Viator

2. Not Possible In Real Life: Precision Agriculture’s Future In 3D Virtual Worlds

Immersive 3D virtual worlds may be several years away from mainstream adoption, but thousands of scientists, educators, and visionary thinkers are already using these environments to network with colleagues, conduct research, create engaging simulations, and develop instructional models that can reach global audiences. Virtual reality offers the potential to create dynamic content that is either not possible to build in real life, or prohibitively expensive. Travel costs can be reduced by bringing... L. Phillips

3. Landscape Position And Climatic Gradient Impacts On Carbon Turnover in Dryland Cropping Systems in Colorado

  Soil organic carbon has decreased in cultivated wheat-fallow systems due to increased carbon oxidation, low carbon input and soil erosion.  Implementation of more intensive cropping with no-till management has reversed the trend in soil carbon loss.  Our objective in this presentation is to review the effects of landscape position on soil carbon status as related to intensification of cropping system.  Our analysis will... G. Peterson, D. Westfall, L.A. Sherrod

4. Modeling Canopy Light Interception For Estimating Yield In Almond And Walnut Trees

A knowledge of spatio-temporal variability in potential yield is essential for site-specific nutrient management in crop production. The objectives of this project were to develop a model for photosynthetically active radiation (PAR) intercepted by almond and walnut trees based on data obtained from respective tree(s) and estimate potential crop yield in individual trees or in blocks of five trees. This project uses proximally sensed PAR interception data measured using a lightbar... R. Dhillon, S. Upadhyaya, J. Roach, K. Crawford, B. lampinen, S. Metcalf, F. Rojo

5. Measuring Pasture Mass and Quality Indices Over Time Using Proximal and Remote Sensors

Traditionally pasture has been measured or evaluated in terms of a dry matter yield estimate, which has no reference to other important quality factors. The work in this paper measures pasture growth rates on different slopes and aspects and pasture quality through nitrogen N% and metabolizable energy and ME concentration. It is known that permanent pasture species vary greatly in terms of quality and nutritional value through different stages of maturity. Pasture quality decreases as grass tillers... I.J. Yule, M.C. Grafton, L.A. Willis, P.J. Mcveagh

6. Hyperspectral Imaging to Measure Pasture Nutrient Concentration and Other Quality Parameters

Managing pasture nutrient requirements on large hill country sheep and beef properties based on information from soil sampling is expensive because of the time and labor involved. High levels of error are also expected as these properties are often greatly variable and it is therefore extremely difficult to sample intensively enough to capture this variation. Extensive sampling was also not considered viable as there was no effective means of spreading fertilizer with a variable rate capability... I.J. Yule, R.R. Pullanagari, G. Kereszturi, M.E. Irwin, P.J. Mcveagh, T. Cushnahan, M. White