Internet of things: automatic sprinklers in prototyping greenhouse using smartphone based android

Abstract

Automatic sprinklers using a soil moisture sensor is formed based on microcontroller technology. The hard- and software system were designed to adapt the greenhouse prototype. The sensors were calibrated by comparing the value with the standard instruments. Observations were conducted on the kale seedsand it monitored for seven days. Based on the observation result, the sensorsable tomeasure temperature, humidity, light intensity, and soil moisture in the greenhouse. The automatic sprinkle pumped the water according to the values of soil moisture sensor. The values of those sensors have been delivered to webserver and android application. Moreover, the system is able to grow the kale plant in the greenhouseprototypevery well.

Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model

“…From the description above, "Control and Automation: inSmoAf on The Greenhouse Model" updates greenhouse technology in integrated agriculture. We also evaluated a greenhouse technology model using use case analysis (El-madbouly and Hameed 2017; Nasution et al 2020;Manríquez-Altamirano et al 2020;Sujadi and Nurhidayat 2019;Meili and Yankang, n.d.;Balaine et al 2019;Lamprinos et al 2015;Benyezza et al 2018;Boonnam et al 2020;Rahayu et al 2018;Chaudhary et al 2011). The general in SmoAf on the greenhouse model solution design is shown in Figure 1.…”

“…A sensor is an input device that provides an output (signal) concerning a particular physical quantity (input). The term "input device" in the definition of a sensor is that part of a larger system that provides input to the primary control system (Nasution et al 2020).…”

“…The value of the soil moisture sensor reading on the rice field prototype model was used to determine the performance of the water pump. Soil is said to be dry if 950 < soil moisture bit value ≤ 1023, moist soil if 650 < soil moisture bit value ≤ 950 and wet soil if 100 < soil moisture bit value ≤ 650 (Siskandar et al 2020;Latif and Megantoro 2020;Nasution et al 2020). The water pump releases water if the planting medium (soil) is dry.…”

Embedded fuzzy logic for controlling pH and nutrition in hydroponic cultivation

“…In addition, [9] documented the influence of nutrient flow rate on hydroponic plant development, whereby the rate of nutrient flow might alter plant growth and root shape. There has been research on sprinkler watering of shallot plants [10], sprinkler automation in greenhouses [11], and a smartphone-based data collecting system using numerous sensors in a greenhouse [12]. In addition, embedded technology using various sensors is employed to enhance the monitoring, management, and forecasting of hydroponic systems.…”

Internet of Things: Automatic Plant Watering System Using Android

“…Previous researchers have succeeded in developing the application of sensor automation on plant watering devices in daily life in all disciplines including smart farming: PGPR technology for the sustainability of dry land agriculture. (Ekawati, 2013), the design of an automatic plant sprinkler uses an arduino uno microcontroller (Dean Hansen, 2015), automatic watering of plant media based on smart phone and wireless fuzzy sensor network (Amir et al, 2017), irrigation automation based on internet of things (Prasetyo et al, 2018), watering and lighting systems in smart gardens use context-awar based technology (Giovannie dan Sumaryo, 2018), automated watering and irrigation system using arduino uno (Patil and Shah, 2019), control device engineering for aquaponic monitoring system (Siskandar and Kusumah, 2019) design and build tools for watering and fertilizing plants automatically with an internet of things-based monitoring system (Windyasari, 2019), automatic tomatoes plant watering system using internet of things internet of things: automatic sprinklers in prototyping greenhouse using smartphone based android (Nasution et al, 2020), smart plant watering design using a smartphone and an Arduino microcontroller based on the internet of thing (Pambudi et al, 2020), water flow monitoring system and automatic sprinkling in iot-based greenhouses with esp8266 and blynk (Sasmoko and Horman, 2020).…”