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| Research Categories |
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| Controlled Environment Agriculture Program
University of Arizona 1951 East Roger Road ~ Tucson, AZ 85719 Phone: 520.626.9566 E.MAIL |
| Copyright © UA Controlled Environment Agriculture
Center Webmaster |
| Automated Plant
Fertilization | Engineering Analysis of Water-Cooled HID
Lamp | Hydroponic Water & Nutrient Recycle
Project Summary: White Polyethylene Irrigation Pipe | Monitoring Electrical Conductivity with Remote Sensing Remote Sensing of Salinity Stress in Plants | System Assessment Utilizing Wirelessly Networked SDACs |
| Systems Assessment of Water Savings Impact of
Controlled Environment Agriculture Utilizing Wirelessly Networked
SDACs Ron Pate, Sandia National Laboratory, and Dr. Gene A. Giacomelli, Ag & Biosystems Engineering This project intersects two areas of interest: assuring water and agricultural safety, security and sustainability as a matter of national security, and contributing to the accelerated development and application of smart networked Sense, Decide, Act, and Communicate (SDAC) systems to enable transformational capabilities in sensing, situational awareness, and response for national security and other dual uses. These areas are addressed by applying networked SDACs to facilitate water savings impact assessment of Controlled Environment Agriculture (CEA) for forage production in arid regions. Experimental investigations and systems analyses will be conducted to understand and quantify operational and technical system performance, forage quality, optimization potential, and overall viability. Experimental studies will be facilitated and enhanced by using wirelessly networked SDAC systems capable of providing a more adaptable and higher-density spatial distribution of multi-modal sensing capability than would otherwise be possible or practical. The challenge and opportunity is whether CEA can contribute more broadly to water and agricultural security & sustainability through improved systems understanding & design, adoption of improved technologies & methodologies, performance optimization, and advent of better decision-support tools. The proposed project will begin to address this by quantitatively investigating the operational performance of CEA for forage production. Cooperators: Sandia National Laboratories (FY04 Late-Start LDRD Project Proposal No. 04-1538), Jon Jordan, ABE MS student Completed 2004 |