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Thursday, January 17 • 11:00am - 12:30pm
Exercising Deep Learning Technique on Earth Datasets for Agriculture

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Deep learning (DL) is the hottest method to realize artificial intelligence in many applied science domains. Our ESIPLab project Geoweaver has started to use Deep Learning method in producing crop maps with higher resolution and accuracy than conventional crop map production methods.
The success of DL relies on massive training datasets and powerful compute nodes like Graphics Processing Units (GPU). A good neural network requires careful engineering and considerable domain expertise in network training. It is never easy to fit DL on any Earth dataset. This session will carry out discussion on the research areas, technical details, data sources, and performances of DL in agriculture. We will work on harmonizing and generating a common strategy to connect and prepare Earth datasets for the training/testing of customized deep neural networks to help advance agricultural researches into next level: intelligent agriculture.



Speakers
avatar for Annie Burgess

Annie Burgess

ESIP Lab Director, ESIP


Thursday January 17, 2019 11:00am - 12:30pm
Linden Oak
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Attendees (17)