Real-Time Detection of Vine Trunk for Robot Localization Using Deep Learning Models Developed for Edge TPU Devices
The concept of the Internet of Things (IoT) in agriculture is associated with the use of high-tech devices such as robots and sensors that are interconnected to assess or monitor conditions on a particular plot of land and then deploy the various factors of production such as seeds, fertilizer, wate...
Main Authors: | Alibabaei, K. (Author), Assunção, E. (Author), Caldeira, J.M.L.P (Author), Gaspar, P.D (Author), Soares, V.N.G.J (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Visible and Thermal Image-Based Trunk Detection with Deep Learning for Forestry Mobile Robotics
by: Daniel Queirós da Silva, et al.
Published: (2021-09-01) -
Bringing Semantics to the Vineyard: An Approach on Deep Learning-Based Vine Trunk Detection
by: André Silva Aguiar, et al.
Published: (2021-02-01) -
Object Detection for Sweeping Robots in Home Scenes (ODSR-IHS): A Novel Benchmark Dataset
by: Yong Lv, et al.
Published: (2021-01-01) -
Deep learning computer vision for robotic disassembly and servicing applications
by: Daniel P. Brogan, et al.
Published: (2021-12-01) -
Convolutional block attention module based on visual mechanism for robot image edge detection
by: Ju, A., et al.
Published: (2022)