Revolutionizing Agriculture through Digital Transformation
Explore the world of digital agriculture with insights from Thanos Gentimis. Learn about the fields encompassing agronomy, data science, and more. Discover how machine learning pioneers in this domain and the future plans for extending digital agriculture education to undergraduates and summer courses. Joshua Woodard's colloquium on Ag Analytics highlights the evolving landscape of precision agriculture. Embrace the shift in mindset and collaboration required to connect with stakeholders, farmers, and industries for a sustainable future.
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Presentation Transcript
Digital Agriculture From Data to Action Thanos Gentimis
What is Digital Agriculture? ACTION
Fields in Digital Agriculture Agronomy Data Science Digital Agriculture Engineering Meteorology Machine Intelligence Farming
How does it work? Teach the machine how to: a)Detect anomalies b)Predict averages c)Suggest solutions
Have you used machine learning? *All images and logos belong to their respective owners and are used for illustration purposes only
How we normally do things Expert Team Analyst Asks Question Provides Dataset Answers Question Evaluates process Prepares Data Designs Experiment Creates model
Machine Learning Approach Analyst Data Collection Data Coming in Explains Trends Evaluates Outliers Asks the right questions Clustering Trend Analysis Machine Learning Outlier Detection Data Subject Matter Expert Warehouse
Main Ideas The algorithm learns by example . The bigger the dataset the better! Multiple types of input welcome!
Digital Agriculture Class Offered as a grad course Fall 2018. Future plans: a)Undergraduates Fall 2019 b)Extension agents Fall 2019 c)Summer course
Digital Agriculture Colloquium Joshua Woodard (Cornell) Ag Analytics Mid April
Take Home Messages Precision Ag. is here and it is evolving We need to connect with stakeholders Different way of thinking Connect with Farmers Connect with Industry Add other disciplines
Thank you! The massive tangle of raw data that comes from precision agriculture is like a fertile field full of potential. But just like in farming, if the right tools and seeds are not used the field will never produce crops. We believe the right tools for this new and exciting area of Agriculture can be found in machine learning, since the datasets involved have long surpassed the ability for analysis and prediction of traditional models.
