Unpredictable fluctuations in weather patterns, partly due to climate change, are complicating agricultural yield predictions.
Crop insurance companies ($12B market in North America) and companies trading in food-commodities ($1.6 Trillion global market) require predictions of crop yields and future prices for financial planning and risk hedging.
THE NEXT BIG THING
DaganTech Inc. was founded by Dr. Tzvi Aviv, an entrepreneurial scientist and innovation consultant from Toronto. Dr. Aviv won several awards for his work with life-science companies, including awards from agricultural and pharmaceutical companies.
Agri Fin Tech
DaganTech Inc. is a seed stage Agri-Fintech startup incubated by NEXT Canada in downtown Toronto. We develop a GIS platform for automated crop monitoring and appraisal services for agri-businesses. Our state of the art deep learning models integrate historical data from multiple sources, allowing us to monitor land use and crop yields at large geo-spatial scale with high precision.
Predicting Soy Yields
To predict soy yields, we constructed a set of predictive variables and trained an ensemble of fifteen relative maturity-specific models using decision tree methods. Our models identified 15 elite soy varieties and forecasted soybean yields at multiple test locations. This method can boost soy yields by about 5% and shorten the time for variant development.
Source-Sink Relationship Management in Ranunculus
Based on evidence from ecological, biological and physiological studies in R. asiaticus and other geophytes, we suggested interventions through the production cycle from corm pretreatment to post pollination supplementation.
This open innovation solution was awarded by Syngenta.