Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Wang Rujing"'
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
Publikováno v:
智慧农业, Vol 5, Iss 1, Pp 122-131 (2023)
Pre-training refers to the process of training deep neural network parameters on a large corpus before a specific task model performs a particular task. This approach enables downstream tasks to fine-tune the pre-trained model parameters based on a s
Externí odkaz:
https://doaj.org/article/0089795e912e451fb1cb0e4761e6e2b5
Publikováno v:
MATEC Web of Conferences, Vol 355, p 03027 (2022)
The identification of seed quality is very important for which the quality of seed is crucial to the yield and quality of crops. There are two main problems with the acquisition and identification of cracks inside corn seed. One is that most of the m
Externí odkaz:
https://doaj.org/article/f0a354a73b594f56b26b80c212f50941
Autor:
Wu, Yanjun a, b, Peng, Zhenyue a, b, Hu, Yimin b, c, Wang, Rujing b, c, ⁎, Xu, Taosheng b, c, ⁎
Publikováno v:
In Remote Sensing of Environment 1 January 2025 316
Autor:
Zhou, Qiong, Huang, Ziliang, Liu, Liu, Wang, Fenmei, Teng, Yue, Liu, Haiyun, Zhang, Youhua, Wang, Rujing
Publikováno v:
In Computers and Electronics in Agriculture December 2024 227 Part 1
Publikováno v:
In Applied Energy 15 November 2024 374