A near real-time deep learning approach for detecting rice phenology based on UAV images

Title
A near real-time deep learning approach for detecting rice phenology based on UAV images
Authors
Keywords
Rice phenology detection, UAV, Convolutional neural network, Shape model fitting, Deep learning
Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 287, Issue -, Pages 107938
Publisher
Elsevier BV
Online
2020-02-19
DOI
10.1016/j.agrformet.2020.107938

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now