SBIR/STTR Research Award

STTR Phase I: Precision Plant Irrigation Control Utilizing Leaf Thickness Sensor Technology

Award identifier 5f045353cd7d024c036bb0183fab96e29fce948bf6c929e5c59f6b3a827b3a4cAwarding agency National Science Foundation

Award amount

$149,988

Program and phase

STTR · Phase I

Award year

2007

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
AgriHouse
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 06-598
Topic code
BT

Research abstract

This Small Business Technology Transfer (STTR) Phase I research project will develop an innovative method that enables reliable feedback for plant irrigation control by direct detection of impending water deficit stress (WDS) in plants. This technology indicates water deficit stress of living plants by measuring the thickness of leaves, which decreases dramatically at the onset of leaf dehydration. The proposed method overcomes the obstacle of traditional methods for determining the thickness of living plant leaves, measuring leaf thickness non-destructively, gently, reliably, conveniently, with high resolution, and in real-time. This novel real-time leaf sensor technology is non-destructive to the plants and can be used on a wide number of species. The proposed leaf sensor can easily be miniaturized and automated without hindering plant cycles. It combines concepts of engineering and plant physiology while employing recent technological advances in electronics and information technologies. Early detection of impending water deficit stress in plants may be used as an input parameter for precision irrigation control, a strategy which has the potential to preserve enormous amounts of precious freshwater while ensuring successful plant cultivation and crop yield optimization. Such a device may find commercial applications in agricultural sectors or the greenhouse industry. The research would develop this novel method into a sensor that is applicable reliably, conveniently, and permanently under field conditions. This research implements this novel real-time leaf sensor-technology into an automated irrigation system as a proof-of-concept demonstration, and evaluates its performance in terms of reliable plant cultivation and its potential for water conservation under realistic farming conditions.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.