Precision Irrigation System (PIS) Using Sensor Network Technology Integrated with IOS/Android Application

Abstract

Abstract:One of the most important factors for successful agricultural production is the irrigation system in place. In this study, a precision irrigation system, which takes advantage of the various phases of plant growth, was developed and implemented using the sensor network technology integrated with IOS/Android. The amount of water in the soil was measured via sensors that were placed on certain points of the area to be irrigated. These sensors were placed near the root of the product. Data from sensors was transmitted via Wi-Fi in real-time to a mobile phone based on IOS/Android. In the light of obtained data, the seasonal precision irrigation system was created depending on the amount of water required by the plants at each stage of their growth stage. The required energy of the system was provided by solar energy. The system can be controlled by smart phones, which increases the usability of the system. When design performance was analyzed, it was observed that some important advantages such as obtaining high efficiency with water, time and energy saving and reducing the workforce were ensured. Five separate laterals were used for the irrigation system. There were valves on each lateral, which realized the opening and closing process depending on the water need. A total of 16 humidity sensors were used in the irrigation system and the data from these sensors was transferred to the IOS/Android server via the programmable controller (PLC). The basic electrical equipment in the irrigation system was monitored and controlled via mobile devices. Control parameters were obtained by comparing the real values and reference values by a closed-loop system and determine the new working status of the irrigation system.

A Survey on Mobile Applications for Smart Agriculture

“…Furthermore, to get value out of the displayed information, some of the SAAs permit data input from the end-users. [9] Irrigation management Irrigation scheduling 2-tier iOS EVAPO [49] Irrigation management Evapotranspiration estimation 2-tier Android PIS [34] Irrigation management Soil moisture sensing 2-tier iOS, Android SoilWaterApp [27] Irrigation management Soil moisture monitoring 2-tier iOS RaGPS [56] Irrigation management Extraterrestrial solar radiation 1-tier Windows SmartIrrigation [79] Irrigation management Irrigation scheduling 2-tier iOS, Android Crop Water Stress [69] Irrigation management Vine water stress 2-tier Android pCAPS [32] Irrigation management Crop water needs 1-tier Android VitiCanopy [23,29,30] Irrigation management Plant water requirement 1-tier iOS, Android SmartfLAIr [11] Yield management Crop yield estimation 1-tier Android PETEFA [62] Geographic information systems Geo-referenced soil analysis 2-tier Android eFarm [86] Geographic information systems Geo-tagging land data 2-tier Android PAMS [85] Geographic information systems Managing farmland spatial data 2-tier iOS, Android, Windows AMACA [76] Farm machinery/tools Estimating machinery cost 2-tier iOS, Android Ecofert [15] Fertiliser management Crop fertiliser estimation 2-tier Android cFertigUAL [65] Fertiliser management Crop fertiliser estimation 2-tier Android BaoKhao [87] Fertiliser management Leaf colour estimation for N fertiliser…”

Precision irrigation and harvest management in orchards: an economic assessment

“…This would bring considerable benefit in high wage countries like Switzerland. Işik et al (2017) reported that precision irrigation system enables about 60% reduction in labor force.…”

Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations

“…Several WSN-driven applications are focused on characterizing soil moisture and temperature [4][5][6], relative air humidity [7], electrical conductivity [8], pH [9] and wind speed and direction [10]. These variables have been widely analyzed in research related to crops such as lavender, mint [11], walnut [12], cherry [13], rice [14], tomatoes, lettuce [9], corn [8,15,16], lemon [17], potatoes [10] and grapes [18].…”