Blend of Cloud and Internet of Things (IoT) in agriculture sector using lightweight protocol

IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

“…They are followed by the Raspberry Pi 3 Model B [132,151], the Raspberry Pi 1 Model B [76,117] and the Raspberry Zero [152]. There were however eight papers that utilized an unspecified Raspberry Pi 3 [28,46,55,99,110,148,159,163] and 13 papers [39,50,59,65,96,115,120,124,[134][135][136]172,178] that indicated that a Raspberry Pi node was utilized but the model of the node was not specified. The Raspberry Pi boards are more potent than the Arduino boards.…”

“…Algorithms can be developed using MATLAB (The MathWorks, Natick, MA, USA) to generate alerts. However, there are proposals that use other cloud platforms such as FIWARE (FIWARE Foundation, Berlin, Germany) [75,149] and Dynamo DB (Amazon DynamoDB, Seattle, Washington, USA) [117,159] with two papers each, and MongoDB (MongoDB Inc., New York, New York, USA) [28], Ubidots (Ubidots, Doral, FL, USA) [5], Amazon (Amazon, Seattle, Washington, USA) [91], M2X (AT&T, Dallas, Texas, USA) [200], NETPIE (Nexpie Co., Ltd., Bangkok, Thailand) [43], SAP (SAP SE, Walldorf, Germany) [201], InteGra (Integra Network Services, Milford, MA, USA) [194], Firebase (Firebase, San Francisco, California, USA) [154, InfluxDB (InfluxData, San Francisco, California, USA) [176]. These less-used platforms are either To be able to provide the new services that are currently demanded in IoT, it is necessary to use middleware.…”

“…Papers that measure the most monitored weather parameters. 28,34,35,42,45-49,51,57-59,61-68,71-76,81,84-89,91,93-100,102,103,111,114,115, 117-122,125-127,130,131,133,135,137-140,142-146,148,150,153-160,162-165] Precipitation[30,46,48,50,61,67,76,95,114,119,137,143,157] Luminosity[28,45,48,62,63,[65][66][67]71,72,76,91,99,112,118,119,125,126,129,131,136,140,144,145,154,156,157,159] …”

Farming in the Era of Internet of Things: An Information System Architecture for Smart Farming

“…Smart products operate on corresponding protocols and communication paradigms ranging from one-to-one to many-to-many connections [4]. For large sensor landscapes with different types of network protocols, the use of IoT gateways is recommended for decentralized data collection and network relief [41,50]. The focus within these architecture components is on not only the pure data transfer and the generation of the necessary connectivity but also the manageability and security between the other components [47,49].…”

“…By combining all data, essential information for the farmer and the farm can be derived and potential risks minimized, thereby increasing the overall efficiency of the farm [11]. The data are stored both in local data store and within a cloud store [42,50]. The duality of data storage ensures data security on the one hand, and on the other hand, it enables analysis and access to mission-critical data even in the event of network failures [22,42,43,52].…”