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About the Project

 

Assessing Agricultural Climate Resilience:  Creating a Decision Support System at the National Agricultural Statistics Service

Improving crop yield forecast is the subject of continual study in the United States Department of Agriculture’s National Agricultural Statistics Service (USDA-NASS).  One of the main challenges in forecasting crop yields is to develop meaningful statistical indicators of crop condition during anomalous conditions. This is particularly true due to the ability of plants to adapt and compensate during short period of stress.  The USDA-NASS is developing a Decision Support System (DSS) to identify, measure, and monitor the effect of climate variability and extreme weather events on crop yields during the growing season. The NASS DSS will emerge from the expansion of AgroClimate and integration of existing products developed by the scientific community.  Agronomic parameters, soil, weather, and remote sensing data will be combined into a decision support system to develop meaningful statistical indicators of crop condition. The integration and adaptation of these products would greatly enhance NASS’ ability to adjust crop yield forecast during anomalous weather conditions.

Publications

 

  • Ana P. L. Wagner, Diego N. L. Pequeno, Daniel D. Barreto, Clyde W. Fraisse, Caroline G. Staub, Noemi Guindin, Carol Crawford, and Timothy Arkebauer. 2016. Monitoring crops across years by combining Remote Sensing and spatial phenology derived from Crop Models: the study case of irrigated maize in Nebraska/USA. University of Florida Annual Postdoctoral Research Symposium. Apr. 13, 2016. Gainesville, FL (oral presentation). (Proceedings) http://postdoc.aa.ufl.edu/media/ufledu/content-assets/postdocaaufledu/symposium/2016/Symposium-Abstracts-Book-2016.pdf
  • Ana Wagner, Diego N. L. Pequeno, Caroline G. Staub, Daniel D. Barreto, Clyde W. Fraisse, Noemi Guindin, Carol Crawford, and Timothy Arkebauer. 2015. Remote Sensing Approach to Compare Maize Canopy Optical Properties across years by Accounting for Temperature Effects on Phenology. ASA, CSSA and SSSA International Annual Meetings. Nov. 15-18, 2015.
    Minneapolis, MN (oral presentation). (Proceedings) https://scisoc.confex.com/scisoc/2015am/webprogram/Paper93584.html
  • Caroline G. Staub, Daniel D. Baretto, Clyde W. Fraisse, Eduardo Gelcer, Noemi Guindin, and Carol Crawford. 2016. Agricultural Drought Index Explains Inter-Annual Variations in Rainfed Maize Yield in Nebraska. University of Florida Annual Postdoctoral Research Symposium. Apr. 13, 2016. Gainesville, FL (poster presentation).
    http://postdoc.aa.ufl.edu/programs/postdoc-research-symposium/ . (*Awarded best poster in group at 2016 University of Florida Postdoc Research Symposium)
  • Caroline G. Staub, Diego N.L. Pequeno, and Clyde W. Fraisse. 2016. Reducing Climate Risk in Agriculture: The Power of Phenology. 13th Meeting of the Tri-State Climate Learning Network for Row Crop Agriculture. Mar. 14, 2016. Headland, AL (oral presentation).
  • Diego N.L. Pequeno, Caroline G. Staub, and Clyde W. Fraisse, C. 2015. Corn Phenology & Extreme Climate Events: The Development of a Smartphone Application for Nebraska Farmers. 12th Meeting of the Tri-State Climate Learning Network for Row Crop Agriculture. Aug. 25, 2015. Bainbridge, GA (oral presentation).
  • Noemi Guindin, Carol Crawford, Clyde W. Fraisse, and Ana Wagner. 2015. Improving NASS’s Crop Yield Forecast. Federal Committee on Statistical Methodology (FCSM) Research Conference. December 1-3, 2015. Washington, DC (oral presentation).
  • Noemi Guindin, Carol Crawford, Clyde W. Fraisse, and Ana Wagner. 2015. Assessing Agricultural Resilience: Creating a Decision Support System at the National Agricultural Statistics Service. ASA, CSSA and SSSA International Annual Meetings. Nov. 15-18, 2015. Minneapolis, MN (oral presentation). (Proceedings)https://scisoc.confex.com/scisoc/2015am/webprogram/Paper92490.html