Future of Agriculture Future of Agriculture 108: Data-Driven Sustainable Agriculture Through IoT and Machine Learning with Michael Gilbert of Semios
Michael Gilbert is the Founder and CEO of Semios, a Canadian company that helps farmers manage their pest problems using onsite sensing, big data, and predictive analytics solutions. He has over twenty years of experience in the field of biotech research and development. Before founding Semios, Michael held positions with federal research institutions, large multinationals, medium-sized public companies, and startups.
Today, Michael joins me to share the goal of Semios and how they plan to contribute to sustainability. He explains the driving idea behind Semios, the technologies they apply in their business, and the many problems they help farmers solve. He also explains why pesticides can eventually stop working and the different applications farmers can use based on the data gathered from sensors.
“You need to have more data to understand why things are occurring and how to best manage it.” - Michael Gilbert
This Week on The Future of Agriculture Podcast:
- How Semios helps farmers find solutions to pest problems.
- How producers previously managed pest issues before using sensors.
- How Semios analyzes pests.
- How to incorporate machine learning in the agriculture industry.
- The four V’s of Big Data.
- The benefits of IoT and Machine Learning technology.
- His background and how he stumbled upon the pest problems farmers face.
- How farmers can apply the data gathered by sensors.
- How their technology can aid sustainability throughout the agriculture industry.
- Problems they hope to solve in the future.
Michael Gilbert’s Words of Wisdom:
- Having a bad year has nothing to do with luck. Our job is to understand what made the risk occur.
Connect with Michael Gilbert:
Check Out Our Sponsor for the “Sustainability at Scale” Series
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Marrone is very proud to support The Future Of Agriculture blog series on sustainability in agriculture with Tim Hammerich.
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