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

doi:10.11923/j.issn.2095-4050.cjas2024-0105

Abstract

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

YUAN Kexin, GAI Yuefeng, CHEN Xiuyu, XU Dongyun, CHEN Hongyan, LI Yuhuan. Design and Implementation of A Soil Quality Intelligent Analysis App for Farmers’ Needs[J]. Journal of Agriculture, 2024, 14(11): 22-29.

Figures/Tables 7

References 25

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