Proceedings

Find matching any: Reset

Modelling and Geo-Statistics

» Add more topics

Add filter to result:

Authors

Ahuja, L.R

Andales, A.A

Baghernejad, M

Emadi, M

G.M. Florax, R.J

Griffin, T.W

Hansen, N.C

Lowenberg-DeBoer, J

Ma, L

Nielsen, D.C

Saseendran, S.A

Trout, T.J

Topics

Modelling and Geo-Statistics

Type

Oral

Year

2008

Home » Topics » Results

Topics

Filter results3 paper(s) found.
1. Evaluating Spatial Effects Induced by Alternative On- Farm Trial Experimental Designs with Cross-regressive Variables Using Monte Carlo Methods The goal of this research was to adapt spatial regression methods to on-farm trials in a farm management context. Different experimental designs and statistical analysis methods are tested with site-specific data under a range of spatial autocorrelation levels using Monte Carlo simulation techniques. Simulations indicated that data usable for farm management decision making could be gathered from limited replication experimental designs if that data were analyzed with the appropriate spatial ... T.W. Griffin, R.J. G.m. florax, J. Lowenberg-deboer Download paper
2. A New Approach for Quantitative Land Suitability Evaluation Using Geostatistics, Remote Sensing (Rs) and Geographic Information System (Gis) The objective of this study was to incorporate geostatistics, remote sensing and geographic information system methods due to improving the quantitative land suitability assessment in Arsanjan plain, southern Iran. The primary data was collected from 85 soil samples from tree depths (030, 3060 and 6090 cm) and the secondary information from remotely sensed data “LISSIII receiver from IRSP6 satellite”. In order to identify the spatial dependence of soil imp... M. Baghernejad, M. Emadi Download paper
3. Use of a Cropping System Model for Soil-specific Optimization of Limited Water In the arena of modern agriculture, system models capable of simulating the complex interactions of all the relevant processes in the soil-water-plant- atmosphere continuum are widely accepted as potential tools for decision support to optimize crop inputs of water to achieve location specific yield potential while minimizing environmental (soil and water resources) impacts. In a recent study, we calibrated, validated, and applied the CERES-Maize v4.0 model for simulating limited-water irriga... L.R. Ahuja, S.A. Saseendran, L. Ma, D.C. Nielsen, T.J. Trout, A.A. Andales, N.C. Hansen Download paper

Filter results3 paper(s) found.

1. Evaluating Spatial Effects Induced by Alternative On- Farm Trial Experimental Designs with Cross-regressive Variables Using Monte Carlo Methods

The goal of this research was to adapt spatial regression methods to on-farm trials in a farm management context. Different experimental designs and statistical analysis methods are tested with site-specific data under a range of spatial autocorrelation levels using Monte Carlo simulation techniques. Simulations indicated that data usable for farm management decision making could be gathered from limited replication experimental designs if that data were analyzed with the appropriate spatial ... T.W. Griffin, R.J. G.m. florax, J. Lowenberg-deboer

Download paper

2. A New Approach for Quantitative Land Suitability Evaluation Using Geostatistics, Remote Sensing (Rs) and Geographic Information System (Gis)

The objective of this study was to incorporate geostatistics, remote sensing and geographic information system methods due to improving the quantitative land suitability assessment in Arsanjan plain, southern Iran. The primary data was collected from 85 soil samples from tree depths (030, 3060 and 6090 cm) and the secondary information from remotely sensed data “LISSIII receiver from IRSP6 satellite”. In order to identify the spatial dependence of soil imp... M. Baghernejad, M. Emadi

Download paper

3. Use of a Cropping System Model for Soil-specific Optimization of Limited Water

In the arena of modern agriculture, system models capable of simulating the complex interactions of all the relevant processes in the soil-water-plant- atmosphere continuum are widely accepted as potential tools for decision support to optimize crop inputs of water to achieve location specific yield potential while minimizing environmental (soil and water resources) impacts. In a recent study, we calibrated, validated, and applied the CERES-Maize v4.0 model for simulating limited-water irriga... L.R. Ahuja, S.A. Saseendran, L. Ma, D.C. Nielsen, T.J. Trout, A.A. Andales, N.C. Hansen

Download paper