文献类型: 会议论文
第一作者: Zhang, S.
作者: Zhang, S. 1 ; Wang, M. 1 ; Shi, W. 1 ; Zheng, W. 1 ;
作者机构: 1.Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences
关键词: Decision Support Systems;Internet of Things;Sensing and Automation for Precision Irrigation
会议名称: IFAC Conference on Bio-Robotics
主办单位:
页码: 466-471
摘要: Water saving irrigation is an important way to solve the shortage of water resources in arid areas. The design of water saving irrigation system based on water balance theory can effectively solve the problem of uneven distribution of soil moisture and system decision lag. This paper introduces the theoretical realization of water balance method, and then introduces the calculation method of water supplement and crop transpiration. On the basis of the theoretical research, this paper introduces the intelligent water saving irrigation control system designed by the method of the Agricultural Internet of things, and gives the detailed design method of the system hardware and software of. The system is applied in Xiaotangshan, Beijing. The application results show that intelligent water saving irrigation based on water balance can effectively implement irrigation.
分类号: TP24-53
- 相关文献
[1]Plant Breeding Evaluation with Rank Entropy-based Decision Tree. Zhao, Xiangyu,Liu, Zhongqiang,Dan, Fang,Wang, Kaiyi,Zhao, Xiangyu,Wang, Kaiyi,Liu, Zhongqiang,Dan, Fang. 2016
[2]Agricultural cooperatives and the role of organisational models in new intelligent traceability systems and big data analysis. Giagnocavo, Cynthia,Bienvenido, Fernando,Sanchez-Molina, Jorge Antonio,Ming, Li,Yang Xinting,Zhao Yurong. 2017
[3]Monitoring and Diagnosis of Vegetable Growth Based on Internet of Things. Zhang, Qian,Yu, Feng,Fu, Rong,Li, Gang. 2017
[4]Application and Implementation of Private Cloud in Agriculture Sensory Data Platform. Jiang, Shuwen,Chen, Tian'en,Dong, Jing,Jiang, Shuwen,Chen, Tian'en,Dong, Jing,Jiang, Shuwen,Chen, Tian'en,Dong, Jing,Jiang, Shuwen,Chen, Tian'en,Dong, Jing. 2016
[5]Study on Agricultural Condition Monitoring and Diagnosing of Integrated Platform Based on the Internet of Things. Jinying Yu,Wei Zhang. 2013
[6]Study on Agricultural Condition Monitoring and Diagnosing of Integrated Platform Based on the Internet of Things. Jinying Yu,Wei Zhang. 2013
作者其他论文 更多>>
-
Design and performance analysis of soil temperature and humidity sensor
作者:Shi, W.;Zhang S.;Wang, M.;Zheng, W.
关键词:Stratification measurement;Oscillating circuit;Data fitting;Temperature and humidity
-
N2O EMISSION AND NITROGEN TRANSFORMATION IN CHICKEN MANURE AND BIOCHAR CO-COMPOSTING
作者:Jia, X.;Wang, M.;Yuan, W.;Shah, S.;Shi, W.;Meng, X.;Ju, X.;Yang, B.
关键词:Biochar; Chicken manure; Co-composting; N2O emission; Nitrogen transformation
-
Research on online asynchronous interaction level in modern distance education for the party members and cadres-a case study of modern distance education platform for the party members and cadres in Beijing
作者:Wang, M.;Guo, J. X.
关键词:party members and cadres;distance education;online asynchronous interaction;content analysis
-
Determination of thiophanate-methyl using UV absorption spectra based on multiple linear regression
作者:Jiao, L.;Dong, D.;Zheng, W.;Zhao, X.;Zhang, S.;Shen, C.;Jiao, L.;Dong, D.;Zheng, W.;Zhao, X.;Zhang, S.;Shen, C.
关键词:Thiophanate-methyl;UV absorption spectra;Multiple linear regression;Related coefficient
-
USING INFRARED SENSOR FOR LARGE AREA CANOPY TOTAL TEMPERATURE MEASUREMENTS OF RICE PLANTS
作者:Wang, M.;Dong, D.;Zheng, W.;Jiao, L.;Zhao, X.;Zhao, C.
关键词:Rice;Canopy temperature;Emissivity;Infrared
-
Quantitative trait loci analysis for resistance against Turnip mosaic virus based on a doubled-haploid population in Chinese cabbage
作者:Zhang, F. L.;Wang, M.;Liu, X. C.;Zhao, X. Y.;Wang, M.;Liu, X. C.;Yang, J. P.
关键词:Brassica rapa ssp pekinensis; Turnip mosaic virus resistance; doubled haploid; genetic mapping
-
An Olfaction Monitoring System for Malodorous Gases
作者:Zhang, S.;Wang, J.;Dong, D.;Zheng, W.;Zhao, X.;Jiao, L.
关键词:Corral malodorous gases;Electrochemical sensors;Monitoring system;Odor level index