Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Farahmand, K

Flitcroft, I

» Add more authors

Add filter to result:

Authors

Rice, K

Carson, T

Krum, J

Flitcroft, I

Cline, V

Carrow, R

Momsen, E

Xu, J

Franzen, D.W

Nowatzki, J.F

Farahmand, K

Denton, A.M

Topics

Spatial Variability in Crop, Soil and Natural Resources

Remote Sensing Applications in Precision Agriculture

Type

Oral

Year

2010

2014

Home » Authors » Results

Authors

Filter results2 paper(s) found.
1. Spatial Mapping Of Penetrometer Resistance On Turfgrass Soils For Site-specific Cultivation Site-specific management requires site-specific information. Soil compaction at field capacity is a major stress on recreational turfgrass sites that requires frequent cultivation. Spatial mapping of penetrometer... K. Rice, T. Carson, J. Krum, I. Flitcroft, V. Cline, R. Carrow Download paper
2. Use Of Quality And Quantity Information Towards Evaluating The Importance Of Independent Variables In Yield Prediction Yield predictions based on remotely sensed data are not always accurate. Adding meteorological and other data can help, but may also result in over-fitting. Working with American Crystal Sugar, we were able to demonstrate that the relevance of independent variables can be tested much more reliably when not only yield but also quality attributes are known, such as the sugar content and the sugar... E. Momsen, J. Xu, D.W. Franzen, J.F. Nowatzki, K. Farahmand, A.M. Denton Download paper

Filter results2 paper(s) found.

1. Spatial Mapping Of Penetrometer Resistance On Turfgrass Soils For Site-specific Cultivation

Site-specific management requires site-specific information. Soil compaction at field capacity is a major stress on recreational turfgrass sites that requires frequent cultivation. Spatial mapping of penetrometer... K. Rice, T. Carson, J. Krum, I. Flitcroft, V. Cline, R. Carrow

Download paper

2. Use Of Quality And Quantity Information Towards Evaluating The Importance Of Independent Variables In Yield Prediction

Yield predictions based on remotely sensed data are not always accurate. Adding meteorological and other data can help, but may also result in over-fitting. Working with American Crystal Sugar, we were able to demonstrate that the relevance of independent variables can be tested much more reliably when not only yield but also quality attributes are known, such as the sugar content and the sugar... E. Momsen, J. Xu, D.W. Franzen, J.F. Nowatzki, K. Farahmand, A.M. Denton

Download paper