Blend of Cloud and Internet of Things (IoT) in agriculture sector using lightweight protocol
Meenaxi M Raikar, Padmashree Desai, Namita Kanthi, Sachin Bawoor · 2018
The emergence of the disruptive technologies such as cloud computing, IoT (Internet of Things), machine learning and data analytics has made its mark in different sectors like transportation, agriculture, healthcare, environment monitoring, renewable energy systems, retail, and industry. The IoT provides connectivity of things dynamically to the network whereas cloud computing provides virtualization in storage and processing. In CloudIoT paradigm, cloud and IoT are merged together to provide complementary features in smart applications/services. CloudIoT solutions make it possible to envisage ubiquitous and pervasive connectivity to the users. The source of livelihood for a majority of the population is agriculture; it mantles a dominant role in the economy of the country. The proposed work focuses on CloudIoT architecture for providing any smart solutions in different sectors. A case study of a smart irrigation system is discussed in the paper. A smart irrigation system is developed using the lightweight protocol, MQTT (Message Queue Telemetry Transport). MQTT protocol is 22% more energy efficient and 15% faster when compared with other protocols. The temperature and soil moisture data are collected and managed by Amazon cloud. The data analysis is performed using the Weka (Waikato Environment for Knowledge Analysis) tool. The cost-effective solution is demonstrated and results speak the strength and performance of the system.