Towards end-to-end deep RNN based networks to precisely regress of the lettuce plant height by single perspective sparse 3D point cloud
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference41 articles.
1. Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops;Andujar;Computers and Electronics in Agriculture,2016
2. Field high-throughput phenotyping: The new crop breeding frontier;Araus;Trends in Plant Science,2014
3. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging;Bendig;Remote Sensing,2014
4. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley;Bendig;International Journal of Applied Earth Observation and Geoinformation,2015
5. A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth;Bernotas;Gigascience,2019
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