The Future of Machine Learning in Agriculture
From autonomous tractors to deeper crop health insights, machine learning has a strong role in transforming agriculture by providing more data and resources to meet the world’s biggest challenge: increasing food production to meet the world’s growing population.
But, where do we go from here? How can machine learning become more approachable to support agronomic leaders in their everyday work?
Join us for this special session with Sentera’s Dimitris Zermas, principle scientist, to learn:
The power of machine learning in agriculture
How machine learning provides essential crop health data
Real-world insight into using machine learning resources today