A Modern Agricultural Model Based on IoT and Fog-Cloud Computing Algorithm

Main Authors: Md. Zahurul Haque, Rafiqul Islam
Format: Article Journal
Bahasa: eng
Terbitan: , 2020
Subjects:
IoT
Online Access: https://zenodo.org/record/4159291
Daftar Isi:
  • Abstract−Agriculture is the major source for the large population in Bangladesh to earn money and carry out their livelihood. Precision agriculture is an approach to farm management that uses to measure agri-related information like temperature, humidity, soil PH, soil nutrition levels, water level etc. It is already adopted in alternative countries, however, we tend to still got to involve IoT and cloud computing technologies for the higher production of crops. Using IoT and cloud computing technologies can control the cost, maintenance and monitoring performance. Here the architecture for the smart agriculture was presented based upon the Concept of the cloud computing and IOT. Fog computing basically extends cloud computing and services to the edge of the network and reduce the amount of data transported to the cloud for processing, analysis and storage. Together they are capable to provide the required information with a significant reduction in cost. In this paper, we propose an IoT and fog computing based modern agricultural system model, which reduces the transmission cost, latency, delay etc. The proposed architecture also enhances the data transmission efficiency that is impossible to achieve by fog or cloud computing alone. Index Terms ─ Fog Computing, Clouding Computing, IoT, Efficiency, Agriculture.