DEVELOPMENT AND TESTING OF A LOW-COST PORTABLE APPARENT SOIL ELECTRICAL CONDUCTIVITY SENSOR USING A BEAGLEBONE BLACK
The adoption of apparent soil electrical conductivity (soil ECa) sensors has increased in precision agricultural systems, especially in systems pulled by vehicles. This work developed a portable soil sensor for measuring soil ECa that could be used without vehicles in mountainous areas and small far...
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Veröffentlicht in: | Applied engineering in agriculture 2020-01, Vol.36 (3), p.341-355 |
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description | The adoption of apparent soil electrical conductivity (soil ECa) sensors has increased in precision agricultural systems, especially in systems pulled by vehicles. This work developed a portable soil sensor for measuring soil ECa that could be used without vehicles in mountainous areas and small farms. The developed system was based on the elecfrical resistivity method. The system measured the elecfrical conductivity by applying a square wave signal atfrequencies defined by the user. The acquired data were georeferenced using a low-cost global navigation satellite system (GNSS) receiver. The sensor system was developed using a BeagleBone Black, a low-cost single-board computer. A user interface was developed in C++, and a touch screen with a resolution of 800x480 pixels was used to display the results. This interface performed statistical analysis, and the results were used to guide the user to identify more field locations to be sampled to increase mapping accuracy. The system was tested in a coffee plantation located in a mountainous area and in a sugarcane plantation in Minas Gerais, Brazil. The system worked well in mapping the soil ECa. The apparent soil electrical conductivities measured using frequencies of 10, 20, 30, and 40 Hz were highly correlated. In the sugarcane field that had more variation in soil texture, a greater number of soil properties presented a significant correlation with the soil ECa. |
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In the sugarcane field that had more variation in soil texture, a greater number of soil properties presented a significant correlation with the soil ECa.</description><subject>Agricultural Engineering</subject><subject>Agriculture</subject><subject>Conductivity</subject><subject>Data acquisition</subject><subject>Electrical resistivity</subject><subject>Global navigation satellite system</subject><subject>Life Sciences & Biomedicine</subject><subject>Low cost</subject><subject>Mountainous areas</subject><subject>Plantations</subject><subject>Science & Technology</subject><subject>Sensors</subject><subject>Soil mapping</subject><subject>Soil properties</subject><subject>Soils</subject><subject>Square waves</subject><subject>Statistical analysis</subject><subject>Sugarcane</subject><subject>Texture</subject><subject>Touch screens</subject><issn>0883-8542</issn><issn>1943-7838</issn><issn>1943-7838</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><recordid>eNqNkEtr20AUhYeSQJ3HJr9goLsWtfOSfLUcjyeu6ERjrHFKV2IkjcChtRxJpvTfR45L1lnds_i-c-EgdEfJV8oJp9988FMSPP2AZjQVPJoDhws0IwA8gliwj-hqGJ4IoSJOYIbGpX7Uxq4fdO6wzJfY6cJl-QrbeyyxsT8jZQuH13bj5MJoLNdruTmxhc0M1kYrt8mUNFjZfLlVLnvM3C9c6LywG7wtTk0SL7RcGb2wucYLI9WPG3TZ-t9DuP1_r9H2Xjv1PTJ2dSqLahanY8R97XkgdeDCE84I5SzhbUNgXqWQVCI0noqGsnmdVi3UAIIxSFre0KYBwip-jT6dew9993wMw1g-dcd-P70smaAAJCaCT9TnM1X33TD0oS0P_e6P7_-VlJSvq5bTquXrqhMMZ_hvqLp2qHdhX4c3gRASC55AHE-JgNqNftx1e9Ud9-Okfnm_yl8AkAGAUQ</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Queiroz, D. 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M.</creatorcontrib><creatorcontrib>Sousa, E. D. T. S.</creatorcontrib><creatorcontrib>Lee, W. S.</creatorcontrib><creatorcontrib>Schueller, J. K.</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Applied engineering in agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Queiroz, D. M.</au><au>Sousa, E. D. T. S.</au><au>Lee, W. S.</au><au>Schueller, J. K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DEVELOPMENT AND TESTING OF A LOW-COST PORTABLE APPARENT SOIL ELECTRICAL CONDUCTIVITY SENSOR USING A BEAGLEBONE BLACK</atitle><jtitle>Applied engineering in agriculture</jtitle><stitle>APPL ENG AGRIC</stitle><date>2020-01-01</date><risdate>2020</risdate><volume>36</volume><issue>3</issue><spage>341</spage><epage>355</epage><pages>341-355</pages><issn>0883-8542</issn><issn>1943-7838</issn><eissn>1943-7838</eissn><abstract>The adoption of apparent soil electrical conductivity (soil ECa) sensors has increased in precision agricultural systems, especially in systems pulled by vehicles. This work developed a portable soil sensor for measuring soil ECa that could be used without vehicles in mountainous areas and small farms. The developed system was based on the elecfrical resistivity method. The system measured the elecfrical conductivity by applying a square wave signal atfrequencies defined by the user. The acquired data were georeferenced using a low-cost global navigation satellite system (GNSS) receiver. The sensor system was developed using a BeagleBone Black, a low-cost single-board computer. A user interface was developed in C++, and a touch screen with a resolution of 800x480 pixels was used to display the results. This interface performed statistical analysis, and the results were used to guide the user to identify more field locations to be sampled to increase mapping accuracy. The system was tested in a coffee plantation located in a mountainous area and in a sugarcane plantation in Minas Gerais, Brazil. The system worked well in mapping the soil ECa. The apparent soil electrical conductivities measured using frequencies of 10, 20, 30, and 40 Hz were highly correlated. 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subjects | Agricultural Engineering Agriculture Conductivity Data acquisition Electrical resistivity Global navigation satellite system Life Sciences & Biomedicine Low cost Mountainous areas Plantations Science & Technology Sensors Soil mapping Soil properties Soils Square waves Statistical analysis Sugarcane Texture Touch screens |
title | DEVELOPMENT AND TESTING OF A LOW-COST PORTABLE APPARENT SOIL ELECTRICAL CONDUCTIVITY SENSOR USING A BEAGLEBONE BLACK |
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