IntelinAir Director of Machine Learning to Present “Precision Agriculture and AI” at Upcoming RE-Work Virtual Summit
Jennifer Hobbs, Director of Machine Learning, Among Speakers at Deep Learning 2.0 Virtual Summit
CHAMPAIGN, IL – January 25, 2021 —IntelinAir, Inc., offering automated crop intelligence, announced today that the company’s Director of Machine Learning, Jennifer Hobbs, will be presenting at the RE-Work Deep Learning 2.0 Virtual Summit, January 28-29, 2021. Hobbs’ presentation, Precision Agriculture and AI, will be held on the Ethics & Social Responsibility Stage, on Friday, January 29 at 10 am (PST). Those interested in attending the Summit can register here.
Hobbs’ presentation – Precision Agriculture and AI – will focus on Deep Learning techniques for precision agriculture that enable optimization of management practices, including water and chemical applications, that benefit both the farmer and the environment. In exploring two use cases, Hobbs will demonstrate how high-resolution aerial imagery, using a deep learning-based density estimation approach to count and localize flowering pineapple plants across a field, provides precision application of chemicals while reducing waste. In using longitudinal aerial imagery of corn and soy fields to detect and predict nutrient deficiency stress, leveraging a U-Net and Convolutional LSTM, she will show how users can detect and predict stress three weeks in advance.
Attendees will gain insight on how:
- Advances in deep learning and high-resolution image acquisition are revolutionizing precision agriculture.
- Deep density-estimation techniques enable counting millions of plants from aerial images in just a few seconds.
- Incorporating the temporal element of data enables better detection and prediction of key issues in the field like identifying plants under stress.
About Jennifer Hobbs, PhD
As Director of Machine Learning at IntelinAir, Jennifer and her team are responsible for the development and delivery of models that identify and alert users of relevant patterns in the field. Throughout her career, Hobbs has been involved in all phases of the Machine Learning lifecycle, transforming raw data into compelling technology products through data modeling and architecture, pipeline design and management, and visualization. She holds a PhD in Physics and Astronomy from Northwestern University.
About IntelinAir, Inc.
IntelinAir, Inc., the automated crop intelligence company, leverages AI and Machine Learning to model crop performance and identify problems enabling commercial growers to make improved decisions. The company’s flagship product, AgMRI® aggregates and analyzes data including high resolution aerial, satellite, and drone imagery, equipment, weather, scouting, and more to deliver actionable Smart Alerts on specific problems in areas of fields as push notifications to farmers’ smartphones. The proactive alerts on operational issues allow farmers to intervene, rescue yield, capture learnings for the next season, and identify conservation opportunities for sustainable farming. Annually IntelinAir analyzes millions of acres of farmland helping growers make thousands of decisions for improved operations and profitability. IntelinAir is headquartered in Champaign, Illinois. For more information, visit intelinair.com
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