Applications of machine vision in agricultural robot navigation: A review
Many tasks in smart agriculture have further requirements for the autonomous navigation of
agricultural robots. Due to irreplaceable visual information and low-cost hardware costs …
agricultural robots. Due to irreplaceable visual information and low-cost hardware costs …
Row detection BASED navigation and guidance for agricultural robots and autonomous vehicles in row-crop fields: methods and applications
Crop row detection is one of the foundational and pivotal technologies of agricultural robots
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …
Crop row segmentation and detection in paddy fields based on treble-classification otsu and double-dimensional clustering method
Y Yu, Y Bao, J Wang, H Chu, N Zhao, Y He, Y Liu - Remote Sensing, 2021 - mdpi.com
Visual navigation is develo** rapidly and is of great significance to improve agricultural
automation. The most important issue involved in visual navigation is extracting a guidance …
automation. The most important issue involved in visual navigation is extracting a guidance …
A review on the application of computer vision and machine learning in the tea industry
H Wang, J Gu, M Wang - Frontiers in Sustainable Food Systems, 2023 - frontiersin.org
Tea is rich in polyphenols, vitamins, and protein, which is good for health and tastes great.
As a result, tea is very popular and has become the second most popular beverage in the …
As a result, tea is very popular and has become the second most popular beverage in the …
Potato visual navigation line detection based on deep learning and feature midpoint adaptation
R Yang, Y Zhai, J Zhang, H Zhang, G Tian, J Zhang… - Agriculture, 2022 - mdpi.com
Potato machinery has become more intelligent thanks to advancements in autonomous
navigation technology. The effect of crop row segmentation directly affects the subsequent …
navigation technology. The effect of crop row segmentation directly affects the subsequent …
In-field performance evaluation of robotic arm developed for harvesting cotton bolls
Robotic harvesting of cotton bolls combines the advantages of manual picking and
mechanical harvesting, including selective picking and reduced labor dependency. Thus …
mechanical harvesting, including selective picking and reduced labor dependency. Thus …
Towards agricultural autonomy: crop row detection under varying field conditions using deep learning
R de Silva, G Cielniak, J Gao - ar** system developed.•Developed a dust
filtering algorithm to reduce LiDAR sensor noise.•Grain level stereo camera-based …
filtering algorithm to reduce LiDAR sensor noise.•Grain level stereo camera-based …
[HTML][HTML] Vision based crop row navigation under varying field conditions in arable fields
Accurate crop row detection is often challenged by the varying field conditions present in
real-world arable fields. Traditional colour based segmentation is unable to cater for all such …
real-world arable fields. Traditional colour based segmentation is unable to cater for all such …