Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …
prerequisite for the accomplishment of various tasks. However, precision navigation of …
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 …
[图书][B] Cluster analysis and applications
For several years, parts of the content of this textbook have been used in undergraduate
courses in the Department of Mathematics and in the Faculty of Economics at the University …
courses in the Department of Mathematics and in the Faculty of Economics at the University …
Curved and straight crop row detection by accumulation of green pixels from images in maize fields
This study proposes a new method for detecting curved and straight crop rows in images
captured in maize fields during the initial growth stages of crop and weed plants. The …
captured in maize fields during the initial growth stages of crop and weed plants. The …
In-field cotton detection via region-based semantic image segmentation
Crop detection from the images taken in the natural field is not only a complex task, but also
stands an important data for precision agriculture in obtaining crop growth information of …
stands an important data for precision agriculture in obtaining crop growth information of …
Crop row detection by global energy minimization
This paper presents a new efficient method for crop row detection which uses a dynamic
programming technique to combine image evidence and prior knowledge about the …
programming technique to combine image evidence and prior knowledge about the …
Waypoint generation in row-based crops with deep learning and contrastive clustering
The development of precision agriculture has gradually introduced automation in the
agricultural process to support and rationalize all the activities related to field management …
agricultural process to support and rationalize all the activities related to field management …
基于自动Hough 变换累加阈值的蔬菜作物行提取方法研究.
陈子文， 李伟， 张文强， 李云伍… - Transactions of the …, 2019 - search.ebscohost.com
为解决机器视觉对生菜和绿甘蓝两种作物在整个生长时期内多环境变量对作物行识别影响的
问题, 同时提高机器视觉作物行识别算法的有效性, 该文提出了一种基于自动Hough …
问题, 同时提高机器视觉作物行识别算法的有效性, 该文提出了一种基于自动Hough …
A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem
R Scitovski, K Sabo - Advances in Data Analysis and Classification, 2021 - Springer
Motivated by the problem of identifying rod-shaped particles (eg bacilliform bacterium), in
this paper we consider the multiple generalized circle detection problem. We propose a …
this paper we consider the multiple generalized circle detection problem. We propose a …
Deepway: a deep learning waypoint estimator for global path generation
Abstract Agriculture 3.0 and 4.0 have gradually introduced service robotics and automation
into several agricultural processes, mostly improving crops quality and seasonal yield. Row …
into several agricultural processes, mostly improving crops quality and seasonal yield. Row …