2013 Annual Report
1a.Objectives (from AD-416):
To conduct collaborative research with China National Engineering Research Center for Information Technology in Agriculture (NERCITA), and Heilongjiang August First Land Reclamation University (HAFLRU) for the scientists of three parties to mutually benefit in the research of 3S (geographic information system – GIS, global positioning system – GPS, and remote sensing – RS) and automatic control technologies for precision aerial application and to further develop the technologies under mutual interests.
1b.Approach (from AD-416):
The collaborative works will be conducted jointly by Crop Production Systems Research Unit (CPSRU), Jamie Whitten Delta States Research Center (DSRC), Agricultural Research Service (ARS), United States Department of Agriculture (USDA), National Engineering Research Center for Information Technology in Agriculture (NERCITA), Beijing, China, and Heilongjiang August First Land Reclamation University. In general the collaboration will involve in research and development of 3S (geographic information system – GIS, global positioning system – GPS, and remote sensing – RS) and automatic control technologies for precision aerial application of crop production and protection materials. Specifically, the collaborative projects will cover the following aspects: a) remote sensing capability for crop management; b) aerial variable rate application; and c) aerial spray drift sensing. The collaborative research and development will be conducted for on-site experiments and analysis in the experiment base of NERCITA, Heilongjiang August First Land Reclamation University, China and the experiment fields of CPSRU in Stoneville, MS, USA. Under the NFCA (NonFunded Cooperative Agreement) the scientists from the three parties will mutually benefit in the research of 3S and automatic control technologies for precision aerial application and further develop the technologies under mutual interests. The research and development will be conducted at locations of all three parties. The results of the research will be shared by the three parties, and delivered as SCI (Science Citation Index) peer reviewed journal publications with mutual authorship.
The research involves application of remote sensing, Geographic Information System (GIS), and Global Positioning System (GIS) technologies for identification of crop stress as a function of growth stage. Crop stress can be caused by multiple factors such as injury from off-target drift of herbicide, insects, water deficit, or disease. This year, data collected in the lab and field experiments were processed and analyzed for detection of insect damage and disease, and initial protocols were developed for variable-rate application. Refinement of these methodologies will allow remote detection of crop stresses over an entire field, giving the farm manager exact locations of troublesome areas requiring attention. Two manuscripts have been submitted for peer-review.