农学学报2024，Vol.14Issue(11)：22-29,8.
面向农户需求的土壤质量智能分析APP设计与实现
Design and Implementation of A Soil Quality Intelligent Analysis App for Farmers'Needs
摘要
Abstract
Finding out the condition of soil quality is a prerequisite for ensuring national food security and developing smart agriculture.According to the characteristics of multi-point and wide distribution of farmers,it is necessary to provide regional distribution information of farmers in order to obtain soil quality information quickly and accurately.Based on the existing remote sensing inversion model of soil quality,this paper adopted ArcGIS Enterprise and other related software,and used Android mobile terminal as the platform,designed and developed soil quality(water,fertilizer,salinity and alkalinity)intelligent analysis APP for the needs of farmers.The three-layer structure of data layer,service layer and user layer was used to develop three functional modules of basic service,remote sensing inversion of soil quality and analysis and decision making,which could help farmers quickly and accurately grasp field soil quality information,and provide decision-making suggestions such as fertilization guidance and salinization treatment.The research results contributed to improving agricultural production efficiency,promoting the development of smart agriculture,which were of great significance for achieving agricultural modernization and information management.关键词
土壤质量/智能分析APP/ArcGIS/智慧农业/遥感反演/农业生产效率Key words
soil quality/intelligent analysis APP/ArcGIS/smart agriculture/remote sensing inversion/agricultural production efficiency分类
农业科技引用本文复制引用
苑可心,盖岳峰,陈修宇,徐冬云,陈红艳,李玉环..面向农户需求的土壤质量智能分析APP设计与实现[J].农学学报,2024,14(11):22-29,8.基金项目
山东省自然科学基金"黄三角滨海区主要作物土壤盐分光谱识别最佳时相与精准模型"(ZR2023MD033) （ZR2023MD033）
"农田实际灌溉区遥感动态监测及其灌溉保证率评估"(ZR2022MD026) （ZR2022MD026）
"基于近地传感信息融合的农田土壤有机质快速预测研究"(ZR2022QD122) （ZR2022QD122）
国家重点研发计划课题"黄淮海夏玉米专用品质与产量协同提升技术研发与应用"(2023YFD2303304). （2023YFD2303304）
