Zobrazeno 1 - 10
of 983
pro vyhledávání: '"Agricultural robot"'
Autor:
Jamil de Almeida Baltazar, André Luiz de Freitas Coelho, Domingos Sárvio Magalhães Valente, Daniel Marçal de Queiroz, Flora Maria de Melo Villar
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 3362-3374 (2024)
The development of autonomous agricultural robots using a global navigation satellite system aided by real-time kinematics and an inertial measurement unit for position and orientation determination must address the accuracy, reliability, and cost of
Externí odkaz:
https://doaj.org/article/05d3c88350b442e09435d7cc72b4abf2
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 1937-1958 (2024)
Recently, the agriconstruction machinery sector has been involved in a great technological revolution. The reasons that may explain this are strictly connected to the mitigation of climate change. At the same time, there is a necessity to ensure an a
Externí odkaz:
https://doaj.org/article/810595d46f884919bc241e7ab2705f5e
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
The goal of achieving autonomous navigation for agricultural robots poses significant challenges, mostly arising from the substantial natural variations in crop row images as a result of weather conditions and the growth stages of crops. The processi
Externí odkaz:
https://doaj.org/article/5cd92e44044848b08bea0c2e5b736843
Autor:
Yijian Duan, Danfeng Wu, Liwen Meng, Yanmei Meng, Jihong Zhu, Jinlai Zhang, Eksan Firkat, Hui Liu, Hejun Wei
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36814- (2024)
Point-cloud semantic segmentation is a visual task essential for agricultural robots to comprehend natural agroforestry environments. However, owing to the extremely large amount of point-cloud data in agroforestry environments, learning effective fe
Externí odkaz:
https://doaj.org/article/43de6de081fc4a30953fb4d8b8451502
Autor:
Zuoliang Tang, Lijia Xu, Haoyang Li, Mingyou Chen, Xiaoshi Shi, Long Zhou, Yuchao Wang, Zhijun Wu, Yongpeng Zhao, Kun Ruan, Yong He, Wei Ma, Ning Yang, Lufeng Luo, Yunqiao Qiu
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
This study addresses the challenges of low detection precision and limited generalization across various ripeness levels and varieties for large non-green-ripe citrus fruits in complex scenarios. We present a high-precision and lightweight model, YOL
Externí odkaz:
https://doaj.org/article/65b700df864e47b2a742c30c7c6ddfb2
Publikováno v:
Cleaner Environmental Systems, Vol 13, Iss , Pp 100186- (2024)
In the context of rapid global population growth and climate change, balancing agricultural productivity with environmental sustainability has never been more important. Precision farming technologies, including robotics, are touted as having huge po
Externí odkaz:
https://doaj.org/article/ff18f387ef73423399b8ab580d6ffeb3
Publikováno v:
IEEE Access, Vol 12, Pp 146265-146276 (2024)
Batteries are crucial in transitioning from fossil fuels to clean-powered mobility, for several applications such as Electric Vehicles and Agricultural Mobile Robots (AMRs). However, the adoption of AMRs is limited by several challenges related to ba
Externí odkaz:
https://doaj.org/article/0cb7687caedf4189ba115ca06285f03a
Publikováno v:
IEEE Access, Vol 12, Pp 137568-137584 (2024)
There is a growing demand for tea harvesting robots due to the harsh harvesting environment and rising in labor costs. Despite considerable efforts by the research community, the robustness to hilly field environment and the harvesting efficiency of
Externí odkaz:
https://doaj.org/article/f4a3396e0d114909a91ae3bc1ea26703
Publikováno v:
智慧农业, Vol 5, Iss 4, Pp 1-15 (2023)
[Significance]Autonomous and intelligent agricultural machinery, characterized by green intelligence, energy efficiency, and reduced emissions, as well as high intelligence and man-machine collaboration, will serve as the driving force behind global
Externí odkaz:
https://doaj.org/article/17b0ffa934a649168ff059a20adefce6
Publikováno v:
Agronomy, Vol 14, Iss 9, p 1886 (2024)
The segmentation and extraction of oilseed rape crop rows are crucial steps in visual navigation line extraction. Agricultural autonomous navigation robots face challenges in path recognition in field environments due to factors such as complex crop
Externí odkaz:
https://doaj.org/article/44abc9f7c30844409a8d4a5f18e40a49