Research Article
Intelligent and Smart Irrigation System Using Edge Computing and IoT
| Work year | Sensor occupied | Technique/methodology | Water saved |
| Cardenas-Lailhacar et al. (2008) [12] | Rain sensor | Soil moisture sensor system | 34% | Xiao et al. (2010) [13] | Self-designed wireless sensor | WSN | 65.22% | Gutiérrez et al. (2014) [14] | Soil moisture sensor VH400 | WSN and GPRS | 90% | Temperature sensor DS1822 | Kumar et al. (2014) [5] | Temperature sensor (LM35) | WSN and XBee-based communication | No result | Humidity sensor (CLM53R) | Soil pH sensor | Nelson et al. (2015) [15] | Soil moisture sensor | WSAN with cloud platform | 72% | Parameswaran and Sivaprasath (2016) [6] | Soil moisture sensor | Drip irrigation with IOT | No result | Rawal (2019) [16] | Soil moisture | Sprinklers with IOT | 1000 m3/ha | Saab et al. (2019) [17] | Blueleaf tool | DSS with IOT | 25.7% | Saqib et al. (2020) [18] | Soil moisture sensor | WSNs | No results | Grady et al. (2019) [19] | Prototype/model | Edge computing | No results |
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