Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
Specifications Of A Prototype Software System For Developing Variable-Rate Treatment Prescriptions For Use In Precision Agriculture, Kevin S. Mccarter, Eugene Burris, George A. Milliken, Ernest L. Clawson, Hoi Yee Wong, Jeffrey L. Willers
Specifications Of A Prototype Software System For Developing Variable-Rate Treatment Prescriptions For Use In Precision Agriculture, Kevin S. Mccarter, Eugene Burris, George A. Milliken, Ernest L. Clawson, Hoi Yee Wong, Jeffrey L. Willers
Conference on Applied Statistics in Agriculture
This paper discusses the process of developing variable-rate treatment prescriptions and gives specifications for a prototype software system for implementing that process. The process is based on statistical analysis of data from embedded field trials, and incorporates producer preferences in determining a treatment prescription. The system can be used by researchers in agricultural research stations for developing prescriptions for commercial agricultural producers. The specifications provided are general enough to be implemented using a variety of statistical and database packages that are available to researchers. In addition to these specifications we provide online access to source code for implementing the system …
A Comparison Of Geostatistical And Spatial Autoregressive Approaches For Dealing With Spatially Correlated Residuals In Regression Analysis For Precision Agriculture Applications, Ignacio Colonna, Matías Ruffo, Germán Bollero, Don Bullock
A Comparison Of Geostatistical And Spatial Autoregressive Approaches For Dealing With Spatially Correlated Residuals In Regression Analysis For Precision Agriculture Applications, Ignacio Colonna, Matías Ruffo, Germán Bollero, Don Bullock
Conference on Applied Statistics in Agriculture
Regressions such as Grain yield=f(soil,landscape) are frequently reported in precision agriculture research, and are typically computed using conventional OLS methods, implicitly ignoring spatial correlation of the residuals. This oversight can have a marked effect on the final conclusions derived from these regressions. A further issue is, which approach should be used to account for this problem? We investigated this question using a 2 year data set that includes sitespecific soil and topographic information and soybean yields and compare regression results from direct covariance representation and spatial autoregressive approaches. Our results show that the coefficients from both spatial approaches are in …
Application Of Computer Intensive Methods To Evaluate The Performance Of A Sampling Design For Use In Cotton Insect Pest Management, J. L. Willers, W. L. Ladner, J. M. Mckinion, W. H. Cooke
Application Of Computer Intensive Methods To Evaluate The Performance Of A Sampling Design For Use In Cotton Insect Pest Management, J. L. Willers, W. L. Ladner, J. M. Mckinion, W. H. Cooke
Conference on Applied Statistics in Agriculture
A scouting protocol for cotton insect pests was developed which combines high resolution, multispectral remotely sensed imagery with a belt transect that crosses rows of cotton. Imagery was used to determine sample site selection while estimating plant bug abundance in a more than 200 ac. cotton field in 1997. Tarnished plant bug (Lygus lineolaris) counts were acquired using a standard drop cloth for each of eight rows along a transect. The sample data indicated that plant bug population densities spatially vary as a function of different spectral (color) classes present on the imagery. We postulate that such classified …