Building a Rice Decision Support System to Support Global Food Security and Commodity Markets

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$124,925.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
NNX13CS04P
Award Id:
n/a
Agency Tracking Number:
124853
Solicitation Year:
2012
Solicitation Topic Code:
S5.02
Solicitation Number:
n/a
Small Business Information
NH, Durham, NH, 03824-4318
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
091440904
Principal Investigator:
william salas
Principal Investigator
(603) 292-5747
wsalas@agsemail.com
Business Contact:
William Salas
Business Official
(603) 292-5747
wsalas@agsemail.com
Research Institution:
Stub




Abstract
Rice is an important crop globally that influences food security and the Earth system. Rice is the predominant food staple in many regions with approximately 700 million tons of production annually across the globe. Rice is sensitive to a variety of drivers that can adversely impact production and efficiency including weather variability and inter-seasonal volatility, water resources, and risk management decisions (e.g., pests). Futures are a tool used to manage or hedge risk, reduce volatility, improve food security, and maximize efficiency and profit on the open market. Currently, the rice futures market has little high quality and timely information available to make strategic or application specific decisions to reduce risk and maximize profit. The global rice futures market is thinly traded causing extreme price fluctuation orders of magnitude. This innovation gap has created an opportunity to build an operational Rice Decision Support System to support the rice futures market. The overarching goal of this NASA Phase I SBIR is to evaluate the feasibility of a Rice Decision Support System (RiceDSS) to Support Global Food Security and Commodity Markets. RiceDSS brings together operational remotely sensed mapping of rice, crop production modeling, and weather forecasts to seamlessly generate near real time information on rice extent, growth stages, yield forecasts and statistical uncertainty. RiceDSS uses state-of-the-art web-GIS and mobile technologies to support visualization and delivery of information to futures markets and food security programs.

* information listed above is at the time of submission.

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