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ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #366035
Research Project: Science and Technologies for the Sustainable Management of Western Rangeland Systems

Location: Range Management Research

Title: AI and machine learning to improve understanding and prediction of complex ecosystem dynamics

Author
item Peters, Debra
item Savoy, Heather
item RAMIREZ, GEOVANY - New Mexico State University

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 7/14/2019
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Artificial intelligence (AI) and machine learning (ML) approaches are increasingly used with big data technologies and high-performance computing in scientific applications to improve scientists’ ability to effectively analyze and comprehend large amounts of data in a short amount of time. Although these technologies are most commonly associated with computational methods to analyze satellite-, drone-, or ground-based imagery, the power of AI approaches in science-based applications reach far beyond image analysis and software-based approaches. My talk will show by example how AI, including ML and deep learning (DL), approaches can be used to improve understanding and predictions, and should be considered an integral part of the scientific method.