Available Technologies
# of Displayed Technologies: 4 / 4
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CENT: Empowering Effective Partnerships
TS-065828 — The Need
In today's interconnected world, stakeholder organizations face the challenge of navigating complex networks to address shared issues effectively. Whether it's climate change adaptation, healthcare management, or community development, the ability to identify and foster partnership…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Fried, Harrison; Ordonez, Kimberly
- Licensing Officer: Dahlman, Jason "Jay"
The FoodImage Smartphone App
TS-040080 — FoodImage quantifies food waste in near real-time using images of
food products and
food waste captured by end users or consumers.
The Need: In the face of mounting environmental concerns and a growing global population, food waste has become a critical issue. It is estimated that billions of tons of
food are wasted each year, contributing to greenhouse gas emissions and straining natural resources. Addressing food waste is not…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Roe, Brian; Apolzan, John; Martin, Corby
- Licensing Officer: Dahlman, Jason "Jay"
Good Bugs +: Information about Natural Enemies, Pollinators, and Native Plants for Fruit, Vegetable, and Field Crop Growers
TS-036585 — An iOS, Android, and web-derived database on the various forms of life within a garden, and how they interact and affect the success of plants within the garden
There are a growing number of local farmers and
agriculturalists looking to provide fresh produce at farmers markets. However, the of lack a centralized source of information that pertains to the often crucial relationship between plants and other forms of life, which could be symbiotic or parasit…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Jasinski, James; Gardiner, Mary; Welty, Celeste
- Licensing Officer: Dahlman, Jason "Jay"
Remote Sensing Image Processing Algorithm for Assessing Plant Population at Emergence
TS-036544 — An algorithm that processes aerial images to provide farmers with data on crop emergence needed for improving crop management decisions.
The Need:
In today's agriculture industry, the ability to make timely and informed crop management decisions is crucial for maximizing crop yield and profitability. However, the traditional methods of manual scouting and assessment are time-consuming and may not cover large areas effectively. T…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Wolters, Dustin; Leonard, James; See, David; Shearer, Scott
- Licensing Officer: Dahlman, Jason "Jay"
