Study on Temporal and Spatial Variation of Soil Moisture Based on Sensing Data of Internet of Things
文献类型: 外文期刊
作者: Li, Qingxue 1 ; Peng, Cheng 1 ; Wu, Huarui 1 ; Wang, Yuansheng 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China
4.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China
关键词: Soil Moisture; Temporal and Spatial Variation; Time Series Analysis; Geo-statistics; Internet of Things
期刊名称:2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)
ISSN: 0094-243X
年卷期: 2019 年 2122 卷
页码:
收录情况: SCI
摘要: Soil moisture plays an important role in the agricultural production. The temporal and spatial variation of soil moisture is an important index to evaluate soil water content. In this paper, the variation of soil moisture in space and time is analyzed by time series analysis and geostatistical methods using Internet of things (IOT) data in order to provide a theoretical basis for the rational arrangement and precise management in farm. The results show that the change of soil moisture is mainly affected by the distribution of rainfall and there is obvious seasonal variation: the soil moisture was poor from April to July and gradually improved after August. From a viewpoint of vertical and lateral distribution, the soil moisture at 4 soil depths 20, 40, 60, 80cm significantly differentiated. Due to the greater impact of the outside climate, the closer to the surface, the greater the coefficient of variation is. Meanwhile the coefficient of variation decreases with the deepening of the soil layer as well. In addition, the soil water content in the field of each depth has a moderate degree of spatial correlation. With the increase of soil depth, the spatial correlation of soil moisture reduced. The spatial correlation before irrigation was slightly smaller than the spatial correlation after irrigation.
- 相关文献
作者其他论文 更多>>
-
Research on Positioning and Navigation System of Greenhouse Mobile Robot Based on Multi-Sensor Fusion
作者:Cheng, Bo;Li, Xiaoyue;Zhang, Ning;Song, Weitang;He, Xueying;Wu, Huarui
关键词:agricultural greenhouse; navigation robot; multi-sensor fusion; ultra-wideband; inertial measurement unit; odometry; rangefinder
-
Cabbage Transplantation State Recognition Model Based on Modified YOLOv5-GFD
作者:Sun, Xiang;Miao, Yisheng;Wang, Yuansheng;Li, Qingxue;Zhu, Huaji;Wu, Huarui;Sun, Xiang;Miao, Yisheng;Wu, Xiaoyan;Wang, Yuansheng;Li, Qingxue;Zhu, Huaji;Wu, Huarui;Sun, Xiang;Miao, Yisheng;Wang, Yuansheng;Li, Qingxue;Zhu, Huaji;Wu, Huarui;Wu, Xiaoyan
关键词:the state of cabbage transplantation; target detection; deep separable convolution; YOLOv5s
-
A Study of Kale Recognition Based on Semantic Segmentation
作者:Wu, Huarui;Guo, Wang;Liu, Chang;Sun, Xiang;Wu, Huarui;Guo, Wang;Liu, Chang;Sun, Xiang;Wu, Huarui;Guo, Wang;Liu, Chang;Sun, Xiang
关键词:kale; semantic segmentation; Swin transformer; UperNet
-
Greenhouse light and CO2 regulation considering cost and photosynthesis rate using i-nsGA II
作者:Gao, Pan;Lu, Miao;Yang, Yongxia;Hu, Jin;Gao, Pan;Lu, Miao;Hu, Jin;Wu, Huarui;Mao, Hanping
关键词:Multi-objective optimization; Photosynthesis rate; Curvature theory; Environmental regulation; Regulation cost
-
Computer Vision-Based Measurement Techniques for Livestock Body Dimension and Weight: A Review
作者:Ma, Weihong;Qi, Xiangyu;Sun, Yi;Gao, Ronghua;Ding, Luyu;Wang, Rong;Peng, Cheng;Zhang, Jun;Wu, Jianwei;Xu, Zhankang;Li, Mingyu;Huang, Shudong;Li, Qifeng;Qi, Xiangyu;Zhao, Hongyan;Huang, Shudong
关键词:3D reconstruction; stressless body dimension measurement; visual weight estimation; precision livestock farming
-
Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation
作者:Li, Jingchen;Wu, Huarui;Zhao, Chunjiang;Shi, Haobin;Hwang, Kao-Shing
关键词:Online reinforcement learning; overfitting; reinforcement learning
-
Recognition Method of Cabbage Heads at Harvest Stage under Complex Background Based on Improved YOLOv8n
作者:Tian, Yongqiang;Zhang, Taihong;Zhao, Yunjie;Zhao, Chunjiang;Wu, Huarui;Zhang, Taihong;Zhao, Yunjie;Zhang, Taihong;Zhao, Yunjie;Wu, Huarui
关键词:cabbage; recognition and localization; object detection; deep learning; automatic harvesting



