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Elhaddad, A

White, M

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Authors

Garcia, L

Elhaddad, A

Yule, I.J

Chok, S.E

Grafton, M.C

White, M

Yule, I.J

Pullanagari, R.R

Kereszturi, G

Irwin, M.E

McVeagh, P.J

Cushnahan, T

White, M

Topics

Remote Sensing Applications in Precision Agriculture

Precision Nutrient Management

Remote Sensing Applications in Precision Agriculture

Type

Oral

Year

2010

2016

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Filter results3 paper(s) found.
1. Using A Surface Energy Model (reset) To Determine The Spatial Variability Of ET Within And Between Agricultural Fields Remote sensing algorithms are currently being used to estimate regional surface fluxes (e.g. evapotranspiration (ET)). Many of these surface energy balance models use information derived from satellite imagery such as aircraft, Landsat, AVHRR, ASTER, and MODIS to estimate ET. The remote sensing approach to estimating ET provides advantages over traditional methods. One of the most important advantages is that it can provide estimates of actual ET for each pixel in the image. Most conventional... L. Garcia, A. Elhaddad Download paper
2. Accuracy of Differential Rate Application Technology for Aerial Spreading of Granular Fertiliser Within New Zealand Aerial topdressing of granular fertilizer is common practice on New Zealand hill country farms because of the challenging topography. Ravensdown Limited is a New Zealand fertilizer manufacturer, supplier and applicator, who are funding research and development of differential rate application from aircraft. The motivation for utilising this technology is to improve the accuracy of fertilizer application and fulfil the variable nutrient requirements of hill country farms. The capability of... I.J. Yule, S.E. Chok, M.C. Grafton, M. White Download paper
3. 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 Download paper

Filter results3 paper(s) found.

1. Using A Surface Energy Model (reset) To Determine The Spatial Variability Of ET Within And Between Agricultural Fields

Remote sensing algorithms are currently being used to estimate regional surface fluxes (e.g. evapotranspiration (ET)). Many of these surface energy balance models use information derived from satellite imagery such as aircraft, Landsat, AVHRR, ASTER, and MODIS to estimate ET. The remote sensing approach to estimating ET provides advantages over traditional methods. One of the most important advantages is that it can provide estimates of actual ET for each pixel in the image. Most conventional... L. Garcia, A. Elhaddad

Download paper

2. Accuracy of Differential Rate Application Technology for Aerial Spreading of Granular Fertiliser Within New Zealand

Aerial topdressing of granular fertilizer is common practice on New Zealand hill country farms because of the challenging topography. Ravensdown Limited is a New Zealand fertilizer manufacturer, supplier and applicator, who are funding research and development of differential rate application from aircraft. The motivation for utilising this technology is to improve the accuracy of fertilizer application and fulfil the variable nutrient requirements of hill country farms. The capability of... I.J. Yule, S.E. Chok, M.C. Grafton, M. White

Download paper

3. 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

Download paper