Geospatial Intelligence for Profitability & Sustainability in the Agri-food Sector

About 7.5 billion people live on Earth. By 2050, additional 1 to 4 billion people will inhabit our planet. Feeding this population will be challenging in a climate expected to be 1 to 3 degrees warmer. We recently demonstrated an AI approach that can increase soybean yields by optimizing the development of ‘elite’ soy variants. Similar technology can be used by farmers to boost productivity in agriculture. In another application, we use deep learning methods to predict soy, corn, and canola yields at the county level with high accuracy. These predictions are desired by governments, banks, food commodity traders, crop-insurance and reinsurance companies.

Tzvi Aviv, Founder & CEO at AgriLogicAI

Tzvi Aviv is an entrepreneurial scientist and innovation consultant working in Toronto. He founded AgriLogicAI to develop and commercialize artificial intelligence and machine learning software for profitability and sustainability in the agri-food sector. Tzvi has won many awards for his work, including seed funding from Next Canada and awards from agricultural and pharmaceutical companies. Prior to AgriLogicAI, he managed a drug development project at the Hospital for Sick Children and received a PhD in Medical Genetics from the University of Toronto. Additionally, he received an MBA from Ryerson University with a focus in the management of innovation and technology.

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