安徽农业科学2024，Vol.52Issue(12)：215-221,7.DOI:10.3969/j.issn.0517-6611.2024.12.046
小麦生长监测大数据平台系统开发和应用
Development and Application of Big Data Platform System for Wheat Growth Monitoring
摘要
Abstract
In order to realize agricultural modernization,to promote the structural reform of the agricultural supply side,and to ensure high-quality and efficient wheat production,we collected and analyzed the data of soil moisture,seedling growth,photosynthesis,insects and meteor-ology in wheat planting process,so as to provide data and planting options for decision making of agricultural technicians and producers.Taking wheat production of Ningjin County as an example,we used the Internet of Things,UAV remote sensing and big data platform processing to de-sign a big data platform system for wheat growth monitoring.This system could be divided to 3 modules,including 1 big data platform and 5 field monitoring point.The system collected insect pest situation,soil moisture and meteorological data every 30 min,provided monitoring picture of wheat growth at the site all through 24 h.The data were transferred to the database of the big data platform through the internet.The platform summarized the data to form images and reports,so as to provide more suitable planting schemes for agricultural experts and agricultural pro-ducers and operators.关键词
小麦/大数据平台/生长监测/物联网Key words
Wheat/Big data platform/Growth monitoring/Internet of Things分类
信息技术与安全科学引用本文复制引用
李振星,张子玉,欧阳薇,高洁,李昊珉,查沛,郝娟娟..小麦生长监测大数据平台系统开发和应用[J].安徽农业科学,2024,52(12):215-221,7.基金项目
安徽省教育厅科技计划项目"谱图融合的作物长势检测传感器及算法的开发"(2022AH051029). （2022AH051029）
