Zobrazeno 1 - 10
of 1 056
pro vyhledávání: '"RGB Image"'
Autor:
Yucheng Cai, Yan Li, Xuerui Qi, Jianqing Zhao, Li Jiang, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaohu Zhang
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-13 (2024)
Abstract Accurate monitoring of wheat phenological stages is essential for effective crop management and informed agricultural decision-making. Traditional methods often rely on labour-intensive field surveys, which are prone to subjective bias and l
Externí odkaz:
https://doaj.org/article/9263907bee204cdcb1947d9604bce8a4
Autor:
Ziyu Ding, Fanguo Zeng, Haifeng Li, Jianyu Zheng, Junzhi Chen, Biao Chen, Wenshan Zhong, Xuantian Li, Zhangying Wang, Lifei Huang, Xuejun Yue
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionSweetpotato virus disease (SPVD) is widespread and causes significant economic losses. Current diagnostic methods are either costly or labor-intensive, limiting both efficiency and scalability.MethodsThe segmentation algorithm proposed in
Externí odkaz:
https://doaj.org/article/9dcb95f972a844fb8ad12d1aae65feef
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112331- (2024)
China has abundant straw resources, but challenges in utilization persist. Utilization rates need improvement, and environmental pollution from straw burning remains a significant issue. Accurate and intelligent remote sensing classification of straw
Externí odkaz:
https://doaj.org/article/03ccaae9ca534952ac76923deaccf750
Publikováno v:
PeerJ Computer Science, Vol 10, p e2260 (2024)
Point clouds are highly regarded in the field of 3D object detection for their superior geometric properties and versatility. However, object occlusion and defects in scanning equipment frequently result in sparse and missing data within point clouds
Externí odkaz:
https://doaj.org/article/8b871b1fd931421794160c551d39bd0b
Autor:
da Silva Ferreira, Marcus Vinicius a, Barbon Junior, Sylvio d, Turrisi da Costa, Victor G. b, Barbin, Douglas Fernandes c, ⁎, Lucena Barbosa Jr, José a, ⁎
Publikováno v:
In Scientia Horticulturae 1 December 2024 338
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4233 (2024)
Sensor data fusion is increasingly crucial in the field of autonomous driving. In sensor fusion research, LiDAR and camera have become prevalent topics. However, accurate data calibration from different modalities is essential for effective fusion. C
Externí odkaz:
https://doaj.org/article/065076f834df4bd3969927d2607901f5
Publikováno v:
Poultry Science, Vol 103, Iss 7, Pp 103829- (2024)
ABSTRACT: Duck eggs are widely-consumed food and cooking ingredient. The heavier yolk weight (YW) corresponds to a larger size and greater value. However, there is no nondestructive method available to estimate the weight of the yolk. Accurate weight
Externí odkaz:
https://doaj.org/article/59e2e8c431eb41498a4ef96783c7604d
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103824- (2024)
It is fundamental to obtain accurate land surface temperature (LST) to study surface energy process. Infrared thermal imagers are commonly used for deriving LST on the basis of radiance measurements. However, when deriving LST from brightness tempera
Externí odkaz:
https://doaj.org/article/5bb819c2440f4eb98ff54e4dba727e22
Autor:
Renxu Yang, Debao Yuan, Maochen Zhao, Zhao Zhao, Liuya Zhang, Yuqing Fan, Guangyu Liang, Yifei Zhou
Publikováno v:
Agriculture, Vol 14, Iss 10, p 1789 (2024)
The detection and counting of Camellia oleifera trees are important parts of the yield estimation of Camellia oleifera. The ability to identify and count Camellia oleifera trees quickly has always been important in the context of research on the yiel
Externí odkaz:
https://doaj.org/article/f9ef821b94dd40b8bf792ddcd12dee66
Publikováno v:
Agronomy, Vol 14, Iss 10, p 2320 (2024)
Robotic fruit harvesting has great potential to revolutionize agriculture, but detecting cherry tomatoes in farming environments still faces challenges in accuracy and efficiency. To overcome the shortcomings of existing cherry tomato detection metho
Externí odkaz:
https://doaj.org/article/7f4a854b1e1243c58f059f4c1f5fe66d