Past Meetup

From the ground up: data science to agronomic insights

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David Clifford, Lead Quantitative Researcher, Climate Corporation

Agriculture is an industry that is ripe with data science challenges. Agriculture faces a grand challenge due to our growing population, the associated increases in food demand, and the fact that this demand will need to be met from a shrinking agricultural footprint in a changing climate. The digitisation of agriculture is helping us meet these challenges. We can access rich spatial and temporal data from many sources, be it from farming equipment, in-ground sensors, or publicly available databases on weather and soil. These sources of information, coupled with observations of crop performance, can be used to design tools to help growers to sustainably increase the productivity of their farming operations. In this talk I'll highlight some of the data-science problems we are working on at Climate, give insight into how we are solving some of these problems, and demo our ClimateView platform to showcase those solutions.

David Clifford is a Lead Quantitative Researcher in The Climate Corporation's Data Science group. Based in San Francisco, David leads the Seeding and Planting team who do statistical research to help growers improve the agronomic outcomes of their businesses through decisions taken early in the growing season relating to management zones, hybrid choice, and seeding populations. Prior to joining TCC in early 2015, David worked for ten years at the Commonwealth Scientific and Industrial Research Organisation (Australia's national science research organisation)­ where he worked on statistical models for soil properties and the design of large scale sampling in remote areas, as well as collaborating in other areas of applied research including genetics and medicine. David holds degrees in mathematics and statistics from the National University of Ireland, and earned a PhD in statistics from the University of Chicago for his research on the nature of spatial variation in crop yields.

https://www.climate.com/

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SCHEDULE

• 6.30pm : light refreshments

• 7.00pm: talk