Internet of things (IoT) assisted soil salinity mapping at irrigation schema level

Rab Nawaz Bashir, Imran Sarwar Bajwa, Muhammad Zahid Abbas, Amjad Rehman, Tanzila Saba, Saeed Ali Bahaj, Hoshang Kolivand

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

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.

Original languageEnglish
Article number105
JournalApplied Water Science
Volume12
Issue number5
DOIs
StatePublished - May 2022

Keywords

  • Economic resources
  • Electric conductivity (EC)
  • IoT
  • Salinity mapping
  • Soil salinity
  • Total dissolved salts (TDS)
  • Water management
  • Water resources
  • pH

Fingerprint

Dive into the research topics of 'Internet of things (IoT) assisted soil salinity mapping at irrigation schema level'. Together they form a unique fingerprint.

Cite this