Zobrazeno 1 - 10
of 409
pro vyhledávání: '"Wang, Rujing"'
Autor:
Li, Dengshan, Wang, Rujing
Video detection and human action recognition may be computationally expensive, and need a long time to train models. In this paper, we were intended to reduce the training time and the GPU memory usage of video detection, and achieved a competitive d
Externí odkaz:
http://arxiv.org/abs/2203.06610
Publikováno v:
In Applied Energy 15 November 2024 374
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 October 2024 319
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences September 2024 36(7)
Publikováno v:
In Remote Sensing of Environment 1 January 2025 316
Publikováno v:
智慧农业, Vol 6, Iss 1, Pp 18-27 (2024)
ObjectiveThe content of nitrogen (N) and potassium (K) in the soil directly affects crop yield, making it a crucial indicator in agricultural production processes. Insufficient levels of the two nutrients can impede crop growth and reduce yield, whil
Externí odkaz:
https://doaj.org/article/2cbb0e4be0144110badef58f254cb0fd
Autor:
DONG Shanshan, ZHANG Fengqiu, XIA Qi, LI Jialin, LIU Chao, LIU Shaowei, CHEN Xiangyu, WANG Rujing, HUANG Qing
Publikováno v:
智慧农业, Vol 6, Iss 1, Pp 101-110 (2024)
ObjectiveThe use of pesticides is one of the root causes of food safety problems. Pesticide exposure and pesticide residues can not only lead to environmental pollution issues but also seriously affect human health. In order to meet the rapid and sen
Externí odkaz:
https://doaj.org/article/35a00509bc3040a5a39d4d20e7b22084
Autor:
WANG Rujing
Publikováno v:
智慧农业, Vol 6, Iss 1, Pp 1-17 (2024)
SignificanceAgricultural sensor is the key technology for developing modern agriculture. Agricultural sensor is a kind of detection device that can sense and convert physical signal, which is related to the agricultural environment, plants and animal
Externí odkaz:
https://doaj.org/article/75b2fc10726446c182b5d846f74a1089
Autor:
TANG Chaoli, LI Hao, WANG Rujing, WANG Le, HUANG Qing, WANG Dapeng, ZHANG Jiabao, CHEN Xiangyu
Publikováno v:
智慧农业, Vol 6, Iss 1, Pp 36-45 (2024)
ObjectiveCapacitive coupled contactless conductivity detection (C4D) plays an important role in agricultural soil nutrient ion detection. Effective identification of characteristic ion peaks in C4D signals is conducive to subsequent qualitative and q
Externí odkaz:
https://doaj.org/article/8778860f81ca44c3b4e5fa23b84ce435