Application of Environmental Sensor Networks in Smart Agriculture
- DOI
- 10.2991/978-94-6463-518-8_40How to use a DOI?
- Keywords
- IOT; Smart agriculture; energy efficient; low cost
- Abstract
Applications of Internet of Things are regarded as one of the most advanced and proposed solutions to resolve hunger issues around the world and achieve SDG targets, as its aims of promoting a scheme called smart agriculture and increasing efficiency and accuracy. However, there are several challenges remaining in the field of IOT deployment and application, which impede the popularization of IOT technologies in agricultural sectors. This paper focuses on the specific challenges in the field including energy supply and consumption, network connectivity in rural areas, reliability and scalability and high cost. After reviewing papers on this topic, proposed solutions to these challenges and a description of current IOT applications in agriculture are provided in this paper. This paper may guide farm holders to optimize their schemes by optimizing techniques, improving allocation of resources, and considering comprehensive plans. Therefore, this paper aims to achieve a better optimized scheme of IOT in agricultural sectors, and then promote the popularization of IOT application in this field in the future.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Peixuan Li PY - 2024 DA - 2024/09/28 TI - Application of Environmental Sensor Networks in Smart Agriculture BT - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024) PB - Atlantis Press SP - 421 EP - 430 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-518-8_40 DO - 10.2991/978-94-6463-518-8_40 ID - Li2024 ER -