Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Zhiwei TIAN"'
Publikováno v:
Circular Agricultural Systems, Vol 4, Iss 1, Pp 1-5 (2024)
Against the background of climate change, exploring avoidable greenhouse gas emission from agriculture practices has gained public attention in the context of global energy transition. Intelligent agricultural machinery plays a crucial role in reduci
Externí odkaz:
https://doaj.org/article/d77d0b334cfe40ff926352b387c8ef0c
Autor:
Junhua Lu, Mei Zhang, Yongsong Hu, Wei Ma, Zhiwei Tian, Hongsen Liao, Jiawei Chen, Yuxin Yang
Publikováno v:
Agronomy, Vol 14, Iss 10, p 2395 (2024)
Machine vision and near-infrared light technology are widely used in fruits and vegetable grading, as an important means of agricultural non-destructive testing. The characteristics of fruits and vegetables can easily be automatically distinguished b
Externí odkaz:
https://doaj.org/article/9edef37312d24c2ebbfb844e98f6bd6a
Publikováno v:
Biomimetics, Vol 9, Iss 9, p 512 (2024)
The humanoid torso is crucial for the overall performance of a humanoid robot. Developing an effective humanoid spine is essential for enhancing this mechanism. This paper introduces a one-vertebral-disc unit inspired by human spine anatomy. A protot
Externí odkaz:
https://doaj.org/article/9c65b95b7418412885ffee7d752f0d8c
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4213 (2024)
The recognition and localization of strawberries are crucial for automated harvesting and yield prediction. This article proposes a novel RTF-YOLO (RepVgg-Triplet-FocalLoss-YOLO) network model for real-time strawberry detection. First, an efficient c
Externí odkaz:
https://doaj.org/article/620c466a40ed47be86ecd1e79c975fa5
Publikováno v:
IEEE Access, Vol 11, Pp 31355-31364 (2023)
Electrical impedance tomography is an emerging technique for brain disease detection. Generally, it requires that electrodes should be equidistantly placed around the detected region. However, this may be not possible for some patients who are underg
Externí odkaz:
https://doaj.org/article/72b81f55ea4e473f8d94afca508fe046
Publikováno v:
Standards, Vol 3, Iss 1, Pp 1-18 (2023)
The Internet of Things (IoT) and smart manufacturing (SM) are mutually reinforcing. The establishment of IoT-based common facilities for SM is the premise of building SM system. Industrial IoT (IIoT) infrastructure for SM refers to common facilities
Externí odkaz:
https://doaj.org/article/b56988206bc54d058852e4d607d94854
Autor:
Zhiwei Tian, Ang Gao, Wei Ma, Huanyu Jiang, Dongping Cao, Weizi Wang, Jianping Qian, Lijia Xu
Publikováno v:
Agriculture, Vol 14, Iss 5, p 651 (2024)
The mechanical properties of a plug seedling substrate determine whether it will crush during the transplantation, thereby affecting the integrity of the root system and the survival rate of transplanted seedlings. In this study, we measured eight mo
Externí odkaz:
https://doaj.org/article/9ab39be6e8dc46338f58e0102c4441fb
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 2, Pp 195-211 (2022)
Plant factories have a great potential for mitigating the contradiction between the world’s growing population and food scarcity. During the process of its automatic production, machine vision plays a significant role. This technique almost covers
Externí odkaz:
https://doaj.org/article/8e0f087430834f4783b540b879c15ae5
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1136 (2024)
The approach of dynamic tracking and counting for obscured citrus based on machine vision is a key element to realizing orchard yield measurement and smart orchard production management. In this study, focusing on citrus images and dynamic videos in
Externí odkaz:
https://doaj.org/article/eb939dd185d34be686536bcd7107d935
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10744 (2023)
The construction of standardized tea gardens is the main trend in the development of modern agriculture worldwide. As one of the most important economic crops, tea has increasingly stringent requirements placed on its planting capacity and quality. T
Externí odkaz:
https://doaj.org/article/2ce584de133a4eaabb9c0c3836fcb9e4