Zobrazeno 1 - 10
of 928
pro vyhledávání: '"3d point clouds"'
Publikováno v:
International Journal of Food Properties, Vol 27, Iss 1, Pp 566-583 (2024)
ABSTRACTRemote sensing in agriculture aims to search new methods to monitor fruit at the tree, thus improving the estimation of yield-related variables. Light detection and range (LiDAR) scanning was introduced to obtain geometric and radiometric inf
Externí odkaz:
https://doaj.org/article/669dc06a689c41ec9e85cbc961649b57
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1035-1070 (2024)
LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, and compressed data formats (e.g. LAZ)
Externí odkaz:
https://doaj.org/article/62661d6aad584bae89617f88efa6dc44
Publikováno v:
IEEE Access, Vol 12, Pp 135352-135361 (2024)
Shifting deep learning models from lab environments to real-world settings entails preparing them to handle unforeseen conditions, including the chance of encountering novel objects from classes that were not included in their training data. Such occ
Externí odkaz:
https://doaj.org/article/e76c9c6d57af4e0cb787c1f7fe17279f
Autor:
Ian de Medeiros Esper, Lars Erik Gangsei, Luis Eduardo Cordova-Lopez, Dmytro Romanov, Per Håkon Bjørnstad, Ole Alvseike, Pål Johan From, Alex Mason
Publikováno v:
Smart Agricultural Technology, Vol 7, Iss , Pp 100388- (2024)
This article presents a comprehensive framework for executing primal cuts on pigs within a Meat Factory Cell (MFC) context, with potential applications for small and medium-sized producers. The framework begins by creating a 3D model from CT-scans, w
Externí odkaz:
https://doaj.org/article/55450b94fdb54c8590e1773f7fd1dd16
Publikováno v:
Sensors, Vol 24, Iss 15, p 5021 (2024)
Semantic segmentation of target objects in power transmission line corridor point cloud scenes is a crucial step in powerline tree barrier detection. The massive quantity, disordered distribution, and non-uniformity of point clouds in power transmiss
Externí odkaz:
https://doaj.org/article/976ffe6390154a19989264f59a269f49
Publikováno v:
Sensors, Vol 24, Iss 13, p 4390 (2024)
This paper presents a novel segmentation algorithm specially developed for applications in 3D point clouds with high variability and noise, particularly suitable for heritage building 3D data. The method can be categorized within the segmentation pro
Externí odkaz:
https://doaj.org/article/382a4ee07cfb4eb48e9799946ca05046
Autor:
Yihui Yang, Volker Schwieger
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103535- (2023)
Multi-temporal acquisitions of 3D point clouds for geomonitoring tasks allow the quantification and analysis of geometric changes of monitored objects by advanced processing algorithms, further revealing the underlying deformation mechanism. Among nu
Externí odkaz:
https://doaj.org/article/5e2139c72f5d4bae882b3eb6a83395cb
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 2, Pp 242-256 (2023)
ABSTRACTAutomatic Digital Orthophoto Map (DOM) generation plays an important role in many downstream works such as land use and cover detection, urban planning, and disaster assessment. Existing DOM generation methods can generate promising results b
Externí odkaz:
https://doaj.org/article/250c463883004e6daf4ee419b597b7f5
Publikováno v:
Agriculture, Vol 14, Iss 6, p 793 (2024)
In precision livestock farming, the non-contact perception of live pig body measurement data is a critical technological branch that can significantly enhance breeding efficiency, improve animal welfare, and effectively prevent and control diseases.
Externí odkaz:
https://doaj.org/article/fcafb1621ce44480ab6c4e8c5b0eefdb
Autor:
Truong Thi Huong Giang, Young-Jae Ryoo
Publikováno v:
Biomimetics, Vol 9, Iss 3, p 161 (2024)
This paper proposes an autonomous robotic system to prune sweet pepper leaves using semantic segmentation with deep learning and an articulated manipulator. This system involves three main tasks: the perception of crop parts, the detection of pruning
Externí odkaz:
https://doaj.org/article/430c034576ea4a3f922b38efbf1cc114