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农学学报

农学学报 ›› 2024, Vol. 14 ›› Issue (11): 22-29.doi: 10.11923/j.issn.2095-4050.cjas2024-0105

• 土壤肥料 资源环境 生态 • 上一篇    下一篇

面向农户需求的土壤质量智能分析APP设计与实现

苑可心1(), 盖岳峰2, 陈修宇3, 徐冬云1(), 陈红艳1, 李玉环1   

  1. 1 山东农业大学资源与环境学院，山东泰安 271000
    2 山东颐通土地房地产评估测绘有限公司，济南 250000
    3 山东顺直建设工程有限公司，山东巨野 274900
  • 收稿日期:2024-05-25 修回日期:2024-08-16 出版日期:2024-11-19 发布日期:2024-11-19
  • 通讯作者:
    徐冬云，女，1990年出生，山东潍坊人，副教授，博士，主要从事土壤遥感与信息技术研究。通信地址：271018 山东农业大学，Tel：86-538-8242297，E-mail：。
  • 作者简介:

    苑可心，女，2003年出生，山东潍坊人，本科在读，主要从事土壤资源信息技术研究。通信地址：271018 山东农业大学，E-mail：。

  • 基金资助:
    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); “农田实际灌溉区遥感动态监测及其灌溉保证率评估”(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); 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)

Design and Implementation of A Soil Quality Intelligent Analysis App for Farmers’ Needs

YUAN Kexin1(), GAI Yuefeng2, CHEN Xiuyu3, XU Dongyun1(), CHEN Hongyan1, LI Yuhuan1   

  1. 1 College of Resources and Environment, Shandong Agricultural University, Tai’an 271000, Shandong, China
    2 Shandong Yitong Land and Real Estate Appraisal and Surveying Co.Ltd., Jinan 250000, Shandong, China
    3 Shandong Shunzhi Construction Engineering Co.Ltd., Juye 274900, Shandong, China
  • Received:2024-05-25 Revised:2024-08-16 Online:2024-11-19 Published:2024-11-19

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摘要：

摸清土壤质量状况是保障国家粮食安全和智慧农业发展前提，针对农户多点散发、分布范围广的特征，需要提供区域分布信息，才能满足其快速、精确获取土壤质量信息的需求。本研究基于已有的土壤质量遥感反演模型，采用ArcGIS Enterprise等相关软件，以Android移动端为搭载平台。结果表明：设计并开发了面向农户需求的土壤质量（水肥盐碱）智能分析APP，采用数据层、服务层和用户层3层结构搭建，研发基础服务、土壤质量遥感反演、分析决策3个功能模块，可帮助农户快速准确掌握田间土壤质量信息，并提供施肥指导、盐渍化治理等决策建议。研究成果有助于提高农业生产效率，促进智慧农业发展，对实现农业现代化建设、信息化管理有重要意义。

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

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.

Key words: soil quality, intelligent analysis APP, ArcGIS, smart agriculture, remote sensing inversion, agricultural production efficiency