Using lightweight deep learning algorithm for real-time detection of apple flowers in natural environments
Y Shang, X Xu, Y Jiao, Z Wang, Z Hua… - Computers and Electronics …, 2023 - Elsevier
Flower thinning at the most appropriate stage could achieve high and stable yield of apple.
Achieving the accurate and real-time detection of apple flowers can provide necessary …
Achieving the accurate and real-time detection of apple flowers can provide necessary …
Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
Apple rapid recognition and processing method based on an improved version of YOLOv5
J Wang, Y Su, J Yao, M Liu, Y Du, X Wu, L Huang… - Ecological …, 2023 - Elsevier
To improve the processing efficiency of apple picking robots, we have developed a rapid
apple recognition and tracking method based on an improved version of the YOLOv5 …
apple recognition and tracking method based on an improved version of the YOLOv5 …
Identification of herbarium specimen sheet components from high‐resolution images using deep learning
KM Thompson, R Turnbull, E Fitzgerald… - Ecology and …, 2023 - Wiley Online Library
Advanced computer vision techniques hold the potential to mobilise vast quantities of
biodiversity data by facilitating the rapid extraction of text‐and trait‐based data from …
biodiversity data by facilitating the rapid extraction of text‐and trait‐based data from …
[PDF][PDF] Automatic identification of ivorian plants from herbarium specimens using deep learning
Plant identification is most often based on visual observations by botanists and systematists.
Deep learning has become a tool that provides an alternative to automatic plant …
Deep learning has become a tool that provides an alternative to automatic plant …
[HTML][HTML] Optimized deep learning vision system for human action recognition from drone images
There are several benefits to constructing a lightweight vision system that is implemented
directly on limited hardware devices. Most deep learning-based computer vision systems …
directly on limited hardware devices. Most deep learning-based computer vision systems …
[HTML][HTML] A deep learning approach to track Arabidopsis seedlings' circumnutation from time-lapse videos
Y Mao, H Liu, Y Wang, ED Brenner - Plant Methods, 2023 - Springer
Abstract Background Circumnutation (Darwin et al., Sci Rep 10 (1): 1–13, 2000) is the side-
to-side movement common among growing plant appendages but the purpose of …
to-side movement common among growing plant appendages but the purpose of …
Leveraging machine learning and citizen science data to describe flowering phenology across South Africa
Phenology, the timing of recurring life history events, is strongly linked to climate. Shifts in
phenology have important implications for trophic interactions, ecosystem functioning and …
phenology have important implications for trophic interactions, ecosystem functioning and …