Design and Development Soil pH Mapping Portable System for Crop Selection using Fuzzy Algorithms on Agricultural Land

2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2019-08-01 DOI:10.1109/AGERS48446.2019.9034381

Yelsa Ferdias Dwi Prastika, Novanna Rahma Zani, Wahyu Arifin, A. H. Alasiry

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引用次数: 2

Abstract

The paper presents about hardware systems, soft-ware, and database systems on on-the-go soil pH mapping portable system to map soil pH profile of the agricultural land. The hardware system includes processor, soil sensors integrated (GPS, soil pH, soil moisture sensor to record soil profiles), and dc motor for punching land in the process of recording soil profiles. The software system uses android platform application to access data from database and draw map soil pH and soil moisture data on google map platform. Database systems uses fuzzy logic algorithm for selection appropriate plant based on soil pH, soil moisture, and temperature as a result of GPS altitude conversion data. Sending data on on-the-go soil pH portable system from the hardware system to the database system using the internet network with HTTP Request protocol. The test results of plant decision making on the land mapping system on agricultural land with fuzzy logic method have quite uniform crop output with a fairly small error rate of 1.99 %.

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基于模糊算法的便携式农田土壤pH值制图系统的设计与开发

本文介绍了便携式土壤pH测量系统的硬件系统、软件系统和数据库系统。硬件系统包括处理器、集成的土壤传感器(GPS、土壤pH、土壤湿度传感器记录土壤剖面)以及在记录土壤剖面过程中冲陆的直流电机。软件系统采用android平台应用程序从数据库中获取数据，并在google地图平台上绘制地图土壤pH和土壤湿度数据。数据库系统根据GPS高度转换数据的土壤pH值、土壤湿度和温度，采用模糊逻辑算法选择合适的植物。利用HTTP请求协议通过internet网络将移动土壤pH值便携式系统的数据从硬件系统发送到数据库系统。应用模糊逻辑方法对农用地土地制图系统进行植物决策的测试结果表明，作物产量较为均匀，错误率较小，仅为1.99%。

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2019 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

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