Internet of things (IoT) assisted soil salinity mapping at irrigation schema level
Abstract Soil salinity accumulates a high concentration of salts in soils that interfere with normal plant growth. Early detection and quantification of soil salinity are essential to effectively deal with soil salinity in agriculture. Soil salinity quantification and mapping at the irrigation schem...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-04-01
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| Series: | Applied Water Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13201-022-01619-1 |
| _version_ | 1811260840305754112 |
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| author | Rab Nawaz Bashir Imran Sarwar Bajwa Muhammad Zahid Abbas Amjad Rehman Tanzila Saba Saeed Ali Bahaj Hoshang Kolivand |
| author_facet | Rab Nawaz Bashir Imran Sarwar Bajwa Muhammad Zahid Abbas Amjad Rehman Tanzila Saba Saeed Ali Bahaj Hoshang Kolivand |
| author_sort | Rab Nawaz Bashir |
| collection | DOAJ |
| description | Abstract Soil salinity accumulates a high concentration of salts in soils that interfere with normal plant growth. Early detection and quantification of soil salinity are essential to effectively deal with soil salinity in agriculture. Soil salinity quantification and mapping at the irrigation scheme level are vital to evaluating saline soil's reclamation activity. Existing solutions of salinity mapping are costly, time-consuming, and inadequate for applications at the irrigation scheme level. Internet of Things (IoT) assisted salinity mapping at the irrigation scheme level is proposed to quantify and map the soil salinity in agriculture. The proposed IoT-assisted salinity mapping characterizes the soil salinity in terms of Electric Conductivity, pH, and Total Dissolved Salts. The proposed IoT-assisted salinity mapping effectively observes impacts of reclamation activities in saline soil by frequent observation of soil salinity cost-effectively. The accuracy of proposed IoT-assisted salinity mapping is evaluated against the standard method of salinity measurements. The proposed IoT-assisted salinity mapping is cost-effective, and portable, which is very useful for site-specific treatments and soil zones management in saline soils. |
| first_indexed | 2024-04-12T18:53:41Z |
| format | Article |
| id | doaj.art-23502805bccb4762a57d5d89e5114ef2 |
| institution | Directory Open Access Journal |
| issn | 2190-5487 2190-5495 |
| language | English |
| last_indexed | 2024-04-12T18:53:41Z |
| publishDate | 2022-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Water Science |
| spelling | doaj.art-23502805bccb4762a57d5d89e5114ef22022-12-22T03:20:24ZengSpringerOpenApplied Water Science2190-54872190-54952022-04-0112511610.1007/s13201-022-01619-1Internet of things (IoT) assisted soil salinity mapping at irrigation schema levelRab Nawaz Bashir0Imran Sarwar Bajwa1Muhammad Zahid Abbas2Amjad Rehman3Tanzila Saba4Saeed Ali Bahaj5Hoshang Kolivand6Department of Computer Science, COMSATS University Islamabad, Vehari CampusDepartment of Computer Science and IT, Islamia University BahawalpurDepartment of Computer Science, COMSATS University Islamabad, Vehari CampusArtificial Intelligence & Data Analytics Lab (AIDA) CCIS, Prince Sultan UniversityArtificial Intelligence & Data Analytics Lab (AIDA) CCIS, Prince Sultan UniversityMIS Department, College of Business Administration, Prince Sattam Bin Abdulaziz UniversitySchool of Computer Science and Mathematics, Liverpool John Moores UniversityAbstract Soil salinity accumulates a high concentration of salts in soils that interfere with normal plant growth. Early detection and quantification of soil salinity are essential to effectively deal with soil salinity in agriculture. Soil salinity quantification and mapping at the irrigation scheme level are vital to evaluating saline soil's reclamation activity. Existing solutions of salinity mapping are costly, time-consuming, and inadequate for applications at the irrigation scheme level. Internet of Things (IoT) assisted salinity mapping at the irrigation scheme level is proposed to quantify and map the soil salinity in agriculture. The proposed IoT-assisted salinity mapping characterizes the soil salinity in terms of Electric Conductivity, pH, and Total Dissolved Salts. The proposed IoT-assisted salinity mapping effectively observes impacts of reclamation activities in saline soil by frequent observation of soil salinity cost-effectively. The accuracy of proposed IoT-assisted salinity mapping is evaluated against the standard method of salinity measurements. The proposed IoT-assisted salinity mapping is cost-effective, and portable, which is very useful for site-specific treatments and soil zones management in saline soils.https://doi.org/10.1007/s13201-022-01619-1IoTSoil salinitySalinity mappingElectric conductivity (EC)pHTotal dissolved salts (TDS) |
| spellingShingle | Rab Nawaz Bashir Imran Sarwar Bajwa Muhammad Zahid Abbas Amjad Rehman Tanzila Saba Saeed Ali Bahaj Hoshang Kolivand Internet of things (IoT) assisted soil salinity mapping at irrigation schema level Applied Water Science IoT Soil salinity Salinity mapping Electric conductivity (EC) pH Total dissolved salts (TDS) |
| title | Internet of things (IoT) assisted soil salinity mapping at irrigation schema level |
| title_full | Internet of things (IoT) assisted soil salinity mapping at irrigation schema level |
| title_fullStr | Internet of things (IoT) assisted soil salinity mapping at irrigation schema level |
| title_full_unstemmed | Internet of things (IoT) assisted soil salinity mapping at irrigation schema level |
| title_short | Internet of things (IoT) assisted soil salinity mapping at irrigation schema level |
| title_sort | internet of things iot assisted soil salinity mapping at irrigation schema level |
| topic | IoT Soil salinity Salinity mapping Electric conductivity (EC) pH Total dissolved salts (TDS) |
| url | https://doi.org/10.1007/s13201-022-01619-1 |
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