Available Technologies
# of Displayed Technologies: 5 / 5
Applied Category Filter (Click To Remove): Software
Precision Soil Health: The Key to Sustainable, High-Yield Farming
TS-070310 —
An integrated soil health assessment and management platform that empowers growers to boost yields and sustainability through data-driven decisions.
Soil health is the cornerstone of sustainable agriculture, yet traditional management often overlooks the complex interactions that drive crop performance and
environmental outcomes. Many growers struggle to optimize yields and reduce input costs due to limited, fragmented soil data. This techno…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Dick, Richard; Renz, Peter
- Licensing Officer: Panic, Ana
VR Safety and Health Trainings for Agriculture - Tractor & Implement Driving Course
TS-062418 — The Need: Agricultural Safety Education in Virtual Reality
Ensuring safety on farms is of paramount importance, yet traditional safety training methods often struggle to fully engage and prepare farmers for potential hazards. The College
of
Food, Agricultural, and
Environmental
Sciences at The Ohio…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Jepsen, Shelly Dee "Dee"; Pulley, Justin
- Licensing Officer: Dahlman, Jason "Jay"
Automating the quantification of color space parameters from Visible Spectrum Absorbance
TS-036603 — Verbal communication of color is challenging, therefore mathematically-standardized color spaces are used. ColorBySpectra is software that in one click can convert large sets of absorbance data obtained from a simple spectrophotometer into color spaces: Hunter Lab, CIEL*c*h* and CIEL*a*b*. It reduces time for data collection, and sample volume and equipment needs. The software is useable on multiple platforms and would be useful in food science or other industries interested in precise color information.
There are several commonly used color spaces that quantify perceived color which include Hunter Lab, CIELab, and CIELch. To obtain these values, samples are usually presented to a colorimeter one sample at a time. Obtaining color data can be time consuming for many samples, and special equipment d…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Farr, Jacob; Giusti, M. Monica
- Licensing Officer: Panic, Ana
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"
