Journal of Agricultural Big Data ›› 2024, Vol. 6 ›› Issue (1): 82-93.doi: 10.19788/j.issn.2096-6369.000007
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ZHANG Jie1,2(), HUANG ZhongDong3, LIANG ZhiJie3, LI ShiJuan1,2, LIU ShengPing1,2,*()
Received:
2023-12-08
Accepted:
2024-01-19
Online:
2024-03-26
Published:
2024-04-08
ZHANG Jie, HUANG ZhongDong, LIANG ZhiJie, LI ShiJuan, LIU ShengPing. Design and Application of Smart Irrigation Big Data Management Platform[J].Journal of Agricultural Big Data, 2024, 6(1): 82-93.
Table 1
Data collection and transmission methods"
数据分类 | 采集方式 | 数据内容 | 采集频率 | 传输方式 | |
---|---|---|---|---|---|
气象数据 | 设备采集 | 气象设备 | 风速、风向、气温、降水、辐射、湿度 | 30分钟 | 读取本地硬盘存储, http接口入库 |
网络抓取 | 气象预报 | 每天 | http接口入库 | ||
通量数据 | 设备采集 | 通量设备 | 三维风速、水汽、二氧化碳、辐射、潜热、显热、动量、水汽、红外温度、反射率 | 30分钟 | 读取本地硬盘存储, http接口入库 |
土壤数据 | 设备采集 | 墒情设备 | 土壤温度、土壤湿度 | 30分钟 | 读取本地硬盘存储, http接口入库 第三方数据库接入 |
土壤水势 | 30分钟 | 读取本地硬盘存储, http接口入库 | |||
人工采集 | 土壤养分 | 10天左右 | 人工检测+Excel导入 | ||
作物数据 | 人工采集 | 作物种类 | 每2个月 | 人工填报+Excel导入 | |
株高、叶宽、叶长、生物量 | 一个月1-2次 | 人工填报+Excel导入 | |||
设备采集 | 表型设备 | 茎流、茎秆直径、冠层温度 | 每天 | 设备检测+Excel导入 | |
设备采集 | 无人机 | 冠层影像 | 不定期 | 人工发送 | |
设备采集 | 监控摄像头 | 实时视频 | 实时传输 | 互联网 |
[1] | UN WATER. Sustainable Development Goal 6 synthesis report on water and sanitation[M]. New York: The United Nations New York, 2018, 10017. |
[2] | 中华人民共和国水利部. 中国水资源公报2022[M]. 北京: 中国水利水电出版社, 2023. |
[3] |
YANG L, HENG T, YANG G, et al. Analysis of factors influencing effective utilization coefficient of irrigation water in the Manas River Basin. Water, 2021, 13(2):189. https://doi.org/10.3390/w13020189.
doi: 10.3390/w13020189 |
[4] | 张亮, 周薇, 李道西. 农业高效节水灌溉模式选择研究进展[J]. 排灌机械工程学报, 2019, 37(5):447-453. |
[5] |
BWAMBALE E, ABAGALE F K, ANORNU G K. Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review[J]. Agricultural Water Management, 2022, 260:107324. https://doi.org/10.1016/j.agwat.2021.107324.
doi: 10.1016/j.agwat.2021.107324 |
[6] | 袁紫晋, 毛克彪, 曹萌萌, 等. 国内外农业大数据发展的现状与存在的问题[J]. 中国农业信息, 2021, 33(3):1-12. |
[7] | 综述:缺水国家以色列的“指尖”节水农业[EB/OL]. (2022-03-22) [2023-12-17]. http://www.xinhuanet.com/tech/2022-03/22/c_1128492406.htm. |
[8] | Irrigation & Water Use[EB/OL]. (2023-09-08)[2023-12-17]. https://www.ers.usda.gov/topics/farm-practices-management/irrigation-water-use/. |
[9] | 康绍忠. 贯彻落实国家节水行动方案推动农业适水发展与绿色高效节水[J]. 中国水利, 2019(13):1-6. |
[10] | 国家统计局. 第三次全国农业普查主要数据公报(第五号)[EB/OL]. (2017-12-16)[2023-11-08]. http://www.stats.gov.cn/sj/tjgb/nypcgb/qgnypcgb/202302/t20230206_1902105.html. |
[11] | 中华人民共和国国务院. 国务院关于印发“十四五”数字经济发展规划的通知[EB/OL]. (2022-01-12)[2023-11-08]. https://www.gov.cn/zhengce/zhengceku/2022-01/12/content_5667817.htm. |
[12] | 陆红飞, 王涛, 乔冬梅, 等. 物联网在农业灌溉中的应用:从灌溉自动化到智慧灌溉[J]. 灌溉排水学报, 2023, 42(1):87-99. |
[13] | OBAIDEEN K, YOUSEF B A, AlMALLAHI M N, et al. An overview of smart irrigation systems using IoT[J/OL]. Energy Nexus, 2022:100124. https://doi.org/10.1016/j.nexus.2022.100124. |
[14] | GAMAL Y, SOLTAN A, SAID L A, et al. Smart irrigation systems: Overview[J/OL]. IEEE Access, 2023. https://doi.org/10.1109/ACCESS.2023.3251655. |
[15] | 沈建炜, 李林, 魏新华. 丘陵地区蓝莓园智能灌溉决策系统设计[J]. 农业机械学报, 2018, 49(S1):379-386. |
[16] | 付少华, 兰壬庚, 李伟, 等. 智慧农业灌溉系统的设计与实现[J]. 节水灌溉, 2022(2):71-74. |
[17] | 鲁旭涛, 张丽娜, 刘昊, 等. 智慧农业水田作物网络化精准灌溉系统设计[J]. 农业工程学报, 2021, 37(17):71-81. |
[18] | WaterBit Uses AT&T Connectivity in Smart Irrigation Solution[EB/OL]. (2018-01-23)[2023-12-17]. https://about.att.com/story/waterbit_attconnectivity.html. |
[19] | Phytech Plant-Based Irrigation[EB/OL]. (2022-01-31)[2023-12-17]. https://www.aginfo.net/report/52017/Farm-of-the-Future/Phytech-Plant-Based-Irrigation. |
[20] |
ROY S K, MISRA S, RAGHUWANSHI N S. AgriSens: IoT-based dynamic irrigation scheduling system for water management of irrigated crops[J]. IEEE Internet of Things Journal, 2020, 8(6): 5023-5030. https://doi.org/10.1109/JIOT.2020.3036126.
doi: 10.1109/JIoT.6488907 |
[21] |
TACE Y, TABAA M, ELFILALI S, et al. Smart irrigation system based on IoT and machine learning[J]. Energy Reports, 2022, 8: 1025-1036. https://doi.org/10.1016/j.egyr.2022.07.088.
doi: 10.1016/j.egyr.2022.07.088 |
[22] | 许海婷, 黄娟萍, 朱永华, 等. 淮北平原冬小麦土壤含水率时空特征分析[J]. 灌溉排水学报, 2021, 40(7):1-8. |
[23] |
张杰, 王川, 董晓霞, 等. 基于裂变模式的农业农村信息快速调查及分析平台开发与应用[J]. 中国农业科学, 2022, 55(21):4158-4174.
doi: 10.3864/j.issn.0578-1752.2022.21.006 |
[24] | 刘钰, 汪林, 倪广恒, 等. 中国主要作物灌溉需水量空间分布特征[J]. 农业工程学报, 2009, 25(12):6-12. |
[25] | ALLEN R G, PEREIRA L S, RAES D. Crop evapotranspiration- guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56[Z]. 1998: 300, D5109. |
[26] | 宋妮, 孙景生, 王景雷, 等. 基于Penman修正式和Penman-Monteith公式的作物系数差异分析[J]. 农业工程学报, 2013, 29(19):88-97. |
[27] |
KUMAR R, JAT M K, SHANKAR V. Methods to estimate irrigated reference crop evapotranspiration-a review[J]. Water Science and Technology, 2012, 66(3):525-535. https://doi.org/10.2166/wst.2012.191.
doi: 10.2166/wst.2012.191 |
[28] |
PEREIRA L S, ALLEN R G, SMITH M, et al. Crop evapotranspiration estimation with FAO56: Past and future[J]. Agricultural Water Management, 2015, 147:4-20. https://doi.org/10.1016/j.agwat.2014.07.031.
doi: 10.1016/j.agwat.2014.07.031 |
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