Research Article
Smart Agriculture Using Internet of Things: A Survey
@INPROCEEDINGS{10.4108/eai.28-6-2020.2298249, author={Amera Badran and Manar Kashmoola}, title={Smart Agriculture Using Internet of Things: A Survey}, proceedings={Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart Planning, IMDC-SDSP 2020, Cyperspace, 28-30 June 2020}, publisher={EAI}, proceedings_a={IMDC-SDSP}, year={2020}, month={9}, keywords={internet of things iot protocols iot application agriculture agriculture iot}, doi={10.4108/eai.28-6-2020.2298249} }
- Amera Badran
Manar Kashmoola
Year: 2020
Smart Agriculture Using Internet of Things: A Survey
IMDC-SDSP
EAI
DOI: 10.4108/eai.28-6-2020.2298249
Abstract
Internet of Things (IoT) is a new fast communication technology designed to continuously make communication among different types of devices. The researchers have exerted huge efforts to employ IoT to facilitate daily life. These include IoT big issues like securing information exchange, smart agriculture systems, and general-purpose internet access. This paper shows research efforts to enable IoT-based smart agriculture. It starts with the underlying architecture, then discusses some of the recent IoT trials. It classifies the literature by deriving a taxonomy based on technologies, communication cofactors, network types, local area wireless criteria, targets, and characteristics. Moreover, it highlights the unprecedented chances brought about by IoT-based smart architectures and their impact on human life. So IoT will solve these problems by connecting soil moisture sensors, giving us a quick response to avoid crop losses through careful monitoring and remote control of the fields. Moreover, IoT facilitates and solves most agriculture-related problems, through the use of modern technologies in monitoring plant biomarkers and controlling watering processes to increase production and efficiency. This gives us a visualization of the state of the field and enables us to take the necessary measures before the problem occurs as a way of problem anticipation.