A Simple Trilingual APP for Determining Near-Surface Soil Moisture

Kalra, Kanishk; Gadi, Vinay Kumar; Alybaev, Dastan; Garg, Ankit; Sreedeep, S.; Sahoo, Lingaraj

doi:10.1007/s40098-020-00487-3

Cited by 2 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationships were evaluated using a widely known technique (ASTM D2216). This approach is simpler, where one can use a mobile/web interface [22] for indicating soil moisture by taking appropriate images of soil samples. Parera et al [33] also utilized the short wave imagery method to capture soil moisture.…”

Section: Development Of Software and Hardware Applications In Civil E...mentioning

confidence: 99%

“…Learning environment showing mobile device application for estimating soil moisture content. Mobile application is developed in three languages (i.e., English, Hindi, and Chinese) (adapted from [22])…”

Section: Design Of Learning Environment For Hardware and Softwarementioning

confidence: 99%

“…Thus, the research and development of a new remote sensing moisture measurement system is of great significance to the development of civil engineering and other disciplines. Kalra et al [22] proposed a remote sensing method that uses UAV and an image analysis app to determine the moisture content of the surface soil to prevent locusts. Similar research and application are attracting the attention of scholars.…”

Section: Introductionmentioning

confidence: 99%

“…I G R E 3 (a) Overview and (b) schematic view of an experimental set up for workshop containing hardware (Arduino UNO, irrigation tube, water pump, soil test pot; adapted from[39]) and (c) GUI Learning environment showing mobile device application for estimating soil moisture content. Mobile application is developed in three languages (i.e., English, Hindi, and Chinese) (adapted from[22])…”

mentioning

confidence: 99%

See 3 more Smart Citations

Geotechnical engineering educational modules demonstrating measurement and regulation of soil moisture

Garg

Huang

et al. 2022

Comp Applic In Engineering

Self Cite

View full text Add to dashboard Cite

With the rapidly changing needs of the construction industry and higher education, Conceive—Design—Implement—Operate (CDIO) educational framework is essential in delivering basics and practical aspects to undergraduate students. This study presents an attempt to explore the use of hardware and software applications for geotechnical engineering education. An example for development of hardware (Arduino UNO) and software applications (Mobile applications) for estimating soil moisture and its regulation is presented. The study provides a new learning environment, where students from civil engineering (major) can work hand to hand with that from electronics (minor) to develop applications for soil moisture measurement. A collaborative workshop is proposed and executed. The workshop includes basic concepts related to hardware (Time domain reflectometry [TDR] probe, Arduino UNO, and Water flow measurement) and software (LabVIEW and Android studio programming platforms) followed by project implementation in a group of 5–6 students. Satisfaction and comprehension were found to increase significantly for subjects (electronics and optics) to students of civil engineering background. The adopted tools represent economical means for application in conventional classrooms as well as laboratories for undergraduate students with a civil engineering background. This integration of the digital and physical world is an attempt at approaching soil mechanics mathematics from technology and arts from a scientific perspective. The examples presented in this study can be useful for developing open‐source laboratories within the framework of the undergraduate curriculum in civil engineering.

show abstract

Section: Development Of Software and Hardware Applications In Civil E...mentioning

confidence: 99%

Section: Design Of Learning Environment For Hardware and Softwarementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations