Predictive Global Agroecology Framework Software

 

2025-107
   
Technology Overview

Braden Trauth, professor for the Department of Industrial Design at the University of Cincinnati, has developed a user-friendly perennial farming software app designed to help farmers plan, grow, and manage perennial crops more effectively. Tailored to those with limited technical experience, the mobile app integrates predictive modeling, GPS mapping, and global data sharing to support better farming decisions and diversify the market. By connecting farmers to global data and a network of peers, the platform assists in mitigating economic risks, improving productivity, and making sustainable farming more accessible and affordable for everyone.

Background

Perennial farming offers a promising path towards sustainable agriculture – but also brings significant risks. Farmers often face uncertainty in predicting market trends, weather patterns, and long-term economic outcomes. 

Permaculture demands extensive time, research, and resources. Many farmers struggle to identify effective strategies that enhance productivity and economic viability. Consequently, it can take many years for farmers to realize that certain crops are not economically viable, leading to increased risks in financial instability and failure.

Advantages and Benefits
  • Lowers risk for perennial farming
  • Accurate predictions in weather, crops, and market outcomes
  • User-friendly software app
  • Highly accessible to global sharing data network to help with farm planning and crop management
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Patents
Serial No. File Date Patent No. Issued Date
Other Media
Inventor(s)
  • Braden Trauth
Contact
Madison Bourbon
Sr. Licensing Associate, Physical Sciences
Lead Inventor