Journal of Nanomaterials · 2022 · 13 citations · 15 references
ComputingAgricultural EngineeringCloud ComputingAgricultural AutomationCrop ManagementInternet Of ThingsAgricultural ApplicationsAgricultural Internet Of ThingsIot Data ManagementIot Embedded SystemsIot NetworkingIot SensorsAgricultural Cyber-physical SystemsCloud-based Iot ApplicationsCloud-based Iot Data ManagementFarm Automation SystemsGraphical User InterfacesInternet Of Things Embedded PlatformsInternet Of Things-based MonitoringSmart Farming Systems
In this paper, the implementation of SmartFarm AgriTech is done using IoT and cloud computing. The current world population is 7.9 billion and supposed to reach 12 billion by 2050, and it is difficult to feed such population in the future. So, for feeding the entire population, the agriculture sector should be embedded with the latest technologies. People living in urban city will be covered with their work and day to day activities which makes it really difficult to travel the village and monitor their cultivation regularly. Without proper maintenance of farms, it is hard to get the desired results, so using the cloud computing, IOT, networking, and many other technologies, one can easily maintain and monitor the crops, weather, water, and spraying fertilizers whenever needed. This SmartFarm AgriTech System is designed using Raspberry Pi and Arduino as the main microcontrollers to control the various sensors, relay‐switch, and motor. AWS and ThingSpeak are used to create server and APIs to collect and store the data through Internet or via a Local Area Network (LAN). In addition to that, a GUI (Graphical User Interface) application is also created to control and monitor the data coming from Raspberry Pi and Arduino board.
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IOT Based Monitoring System in Smart Agriculture
S. R. Prathibha, Anupama Hongal, M. P. Jyothi · 2017 · 449 citations
UAV-based crop and weed classification for smart farming
Philipp Lottes, Raghav Khanna, Johannes Pfeifer et al. · 2017 · 384 citations
A model for smart agriculture using IoT
K. A. Patil, N. R. Kale · 2016 · 312 citations
Computing, Agricultural Engineering, Agricultural Automation +16