Proceedings :: International Society of Precision Agriculture

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Shaw, J.N

Xu, J

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Authors

Norwood, S.H

Fulton, J.P

Winstead, A.T

Shaw, J.N

Rodekohr, D

Brodbeck, C.J

Macy, T

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

Poster

Oral

Year

2010

2014

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Filter results2 paper(s) found.
1. A Case Study For Variable-rate Seeding Of Corn And Cotton In The Tennessee Valley Of Alabama Farmers have recently become more interested in implementing variable-rate seeding of corn and cotton in Alabama due to increasing seed costs and the potential to maximize yields site-specifically due to inherent field variability. Therefore, an on-farm case study was conducted to evaluate the feasibility of variable-rate seeding for a corn and cotton rotation. ... S.H. Norwood, J.P. Fulton, A.T. Winstead, J.N. Shaw, D. Rodekohr, C.J. Brodbeck, T. Macy
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. A Case Study For Variable-rate Seeding Of Corn And Cotton In The Tennessee Valley Of Alabama

Farmers have recently become more interested in implementing variable-rate seeding of corn and cotton in Alabama due to increasing seed costs and the potential to maximize yields site-specifically due to inherent field variability. Therefore, an on-farm case study was conducted to evaluate the feasibility of variable-rate seeding for a corn and cotton rotation. ... S.H. Norwood, J.P. Fulton, A.T. Winstead, J.N. Shaw, D. Rodekohr, C.J. Brodbeck, T. Macy

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