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Research Project: SITE SPECIFIC APPROACHES TO DEVELOP PRECISION AGRICULTURE TECHNOLOGY FOR USE ON COMMERCIAL FARMS ROTATING COTTON WITH OTHER CROPS -MACON, MS

Location: Genetics and Precision Agriculture Research

Project Number: 6406-21610-008-01
Project Type: Nonfunded Cooperative Agreement

Start Date: May 01, 2006
End Date: Apr 30, 2009

Objective:
The objective of this cooperative research project is: (1) determine if a topologically based general linear mixed model statistical approach is applicable for the analysis of the effects of site-specific and conventional management practices which occur at similar or different times and locations on commercial farms; (2) develop a cooperative project between a commercial farm and ARS research to determine if the proposed statistical/geographical information system (GIS) analysis process is applicable for commercial farms and if it can be formulated into a farmer/consultant friendly approach when crops are grown on a rotational basis; and (3) determine the utility of applications of wireless technology to capture, share, and transfer spatial information about farm operations so that it strengthens the ability of farms to complete analyses of their farm operation.

Approach:
Work will be done in fields on a cooperator farm that rotates other crops with cotton. Define experimental units in a unique way so that independence among control and management treatments is achieved. The analysis process uses the spatial demographics modeled in the GIS to create zones of conventional agricultural practice within commercial production fields. Experimental precision agricultural practices are evaluated against conventional practices by use of smaller floating plots imbedded within the larger zones by spatially including the necessary information into a prescription file used by the VR controller. The various agricultural practices are evaluated using analysis of covariance to obtain regression effects describing the plot demographics. Using geospatial information the spatial correlation structure describing the relationships among plot residuals can be modeled. Wireless systems networks are developed to communicate commands and feedback information among personnel, computers, and field variable rate requipment.

   

 
Project Team
Jenkins, Johnie
Willers, Jeffrey
McKinion, James
 
Project Annual Reports
  FY 2007
  FY 2006
 
Related National Programs
  Integrated Farming Systems (207)
 
 
Last Modified: 11/08/2008
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