Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Hyoung Il Son"'
STPAS: Spatial-Temporal Filtering-Based Perception and Analysis System for Precision Aerial Spraying
Publikováno v:
IEEE Access, Vol 12, Pp 145997-146008 (2024)
This study proposes a perception and analysis method for precise aerial spraying based on three-dimensional (3D) deep learning. Point cloud data for water droplets are acquired using 3D LiDAR, and the PointNet++ deep learning model is trained to clas
Externí odkaz:
https://doaj.org/article/50a14b8ad01a4f3faf40732923a8b746
Publikováno v:
IEEE Access, Vol 10, Pp 77263-77271 (2022)
This study proposes a novel spray drift analysis method, based on 3D deep learning, managing and reducing spray drift using a mobile LiDAR method. LiDAR point clouds were trained to classify and segment spraying forms from orchards using the PointNet
Externí odkaz:
https://doaj.org/article/dc44a554e22a4ac99632c522d2f38b4a
Autor:
Chanyoung Ju, Hyoung Il Son
Publikováno v:
IEEE Access, Vol 10, Pp 4048-4062 (2022)
The tracking of flying insects is one of the main challenges in the field of ecosystem and biodiversity protection. In the case of invasive insects such as Asian hornets, extensive considerations must be made in estimating the habitat because of the
Externí odkaz:
https://doaj.org/article/924d28e50d7848668123bdd125fcbf6e
Publikováno v:
IEEE Access, Vol 10, Pp 60253-60266 (2022)
Path planning is crucial for several applications, including those in industrial facilities, network traffic, computer games, and agriculture. Enabling automated path-planning methods in smart farms is essential to the future development of agricultu
Externí odkaz:
https://doaj.org/article/b4d39fcfb2094b33a295a0dd92c107b0
Publikováno v:
IEEE Access, Vol 9, Pp 17631-17640 (2021)
Fruit and vegetable harvesting robots have been widely studied and developed in recent years. However, despite extensive research commercial tomato harvesting robots still remain a challenge. In this paper, we propose an efficient tomato harvesting r
Externí odkaz:
https://doaj.org/article/1cf5e659137249c29f553adae6f64c24
Autor:
Jeongeun Kim, Hyoung Il Son
Publikováno v:
IEEE Access, Vol 8, Pp 20676-20686 (2020)
Nowadays, multi-robot systems are being utilized to perform agricultural tasks. It is particularly essential to robotize pesticide spraying because of the risk of poisoning workers. However, the problem is that the human-driven sprayers are big size,
Externí odkaz:
https://doaj.org/article/00cb790d575e4208a9ec0f881ec4d5b9
Publikováno v:
IEEE Access, Vol 7, Pp 176998-177008 (2019)
Radio-telemetry tracking uses a lightweight transmitter and receivers capable of good mobility. This method can be used to track Asian hornets, which have a significant impact on bees and beekeepers. This is because hornet acts as a group and exhibit
Externí odkaz:
https://doaj.org/article/1064cdb39a9d467495268658fb6d197a
Publikováno v:
IEEE Access, Vol 7, Pp 105100-105115 (2019)
For agricultural applications, regularized smart-farming solutions are being considered, including the use of unmanned aerial vehicles (UAVs). The UAVs combine information and communication technologies, robots, artificial intelligence, big data, and
Externí odkaz:
https://doaj.org/article/752b836815f449f8ac574d7c972464ca
Publikováno v:
Precision Agriculture. 24:948-970
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d916308cb2059eafd568fc1b5254e556
https://doi.org/10.1007/s11119-022-09981-5
https://doi.org/10.1007/s11119-022-09981-5
Publikováno v:
Precision Agriculture. 24:744-763
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b49964a4f36eff389570edaab8f2940
https://doi.org/10.1007/s11119-022-09973-5
https://doi.org/10.1007/s11119-022-09973-5