Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object Tracking

Volume: 181, Issue: 1, Pages: 28 - 42
Published: Jul 22, 2019
Abstract
Understanding the relationships between local environmental conditions and plant structure and function is critical for both fundamental science and for improving the performance of crops in field settings. Wind-induced plant motion is important in most agricultural systems, yet the complexity of the field environment means that it remained understudied. Despite the ready availability of image sequences showing plant motion, the cultivation of...
Paper Details
Title
Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object Tracking
Published Date
Jul 22, 2019
Volume
181
Issue
1
Pages
28 - 42
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