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3D-Printed Soybean Leaf
TS-065464 — The Need In modern agriculture, the ability to quickly and accurately identify diseases impacting soybean crops is critical for farmers to maintain yield and profitability. Traditional methods of disease identification can be time-consuming and imprecise, leading to potential losses. There is a cle…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Lang, Olivia; Michel, Andy
  • Licensing Officer: Dahlman, Jason "Jay"

Soybean Gall midge (SBGM) Key tag
TS-062362 — The Need: As the global demand for soybean production surges, farmers face mounting challenges to protect their crops from destructive pests. Among these, the Soybean Gall Midge (SBGM) has emerged as a significant threat, causing substantial yield losses and economic burdens to soybean growers world…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Basnagala, Suranga; Michel, Andrew
  • Licensing Officer: Dahlman, Jason "Jay"

Frogeye Leaf Spot on Soybean 3D-Printed Model
TS-062359 — The Need: Frogeye Leaf Spot poses a significant threat to soybean crops, resulting in yield losses and economic impact on farmers. Early and accurate detection of this devastating disease is crucial for effective management and mitigation strategies. Conventional methods fall short in providing a d…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Lang, Olivia; Basnagala, Suranga; Lopez Nicora, Horacio; Michel, Andy
  • Licensing Officer: Dahlman, Jason "Jay"

3D-Printed Spotted Lanternfly Egg Masses
TS-062358 — The Need: The agricultural and forestry sectors are grappling with the escalating menace of the invasive Spotted Lanternfly (Lycorma delicatula). This destructive pest wreaks havoc on crops, trees, and plants, resulting in significant economic losses. Swift and accurate identification of pest infest…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Lang, Olivia; Basnagala, Suranga; Leach, Ashley; Michel, Andy
  • Licensing Officer: Dahlman, Jason "Jay"

3D-Printed Soybean Defoliation Estimation Tool
TS-062356 — The Need: In the modern agricultural landscape, accurate and efficient estimation of soybean defoliation is crucial for farmers and agronomists to make informed decisions about crop health and maximize yields. Conventional methods for defoliation assessment are often time-consuming and subject to hu…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Lang, Olivia; Basnagala, Suranga; Michel, Andy
  • Licensing Officer: Dahlman, Jason "Jay"

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