Internet of Things Based Smart Irrigation and Remote Monitoring System

Abstract

Agricultural and landscape irrigation are the areas where fresh water resources are most consumed. Smart management of water contributes to increasing irrigation efficiency, lowering costs and environmental sustainability. In order to optimize water use, reduce energy consumption and improve the quality of crops; the need for using technology in the irrigation field is increasing day by day. Internet of Things (IoT) based smart irrigation systems can help the efficient use of fresh water resources. Monitoring environmental conditions is the most important factor in increasing irrigation efficiency. In this study, an IoT-based smart irrigation system has been proposed. The proposed smart irrigation system determines the appropriate irrigation time and irrigation period using the air temperature, air humidity and soil moisture. The smart irrigation system uses the sensor information to estimate the precipitation and, if necessary, displace the irrigation time. Developed android-based user interface provides real-time display of data such as sensor data, irrigation time, electricity and water consumption. Analysis of sensor data that can be recorded on the cloud system helps to determine the ideal irrigation period and irrigation time. With this smart irrigation system human intervention is minimized, also remote monitoring and control as well as electricity and water saving is provided.

Keywords

• Internet of Things
• Smart Irrigation
• Blynk
• Android
• NodeMCU

Nesnelerin İnterneti Tabanlı Akıllı Sulama ve Uzaktan İzleme Sistemi

Abstract

Bu çalışmada, Nesnelerin İnterneti (IoT) tabanlı bir akıllı sulama sistemi önerilmiştir. Önerilen bu akıllı sulama sistemi,  havanın sıcaklığı ve nem değerleri ile toprağın nem değerini kullanarak sulama zamanı ve süresini belirlemektedir. Akıllı sulama sistemi, havanın sıcaklık ve nem değerlerini kullanarak yağış tahmininde bulunmakta ve gerektiğinde sulama zamanını ötelemektedir. Android uygulama geliştiricisi kullanılarak oluşturulan kullanıcı arayüzü, sensör verileri,  sulama süresi, hava tahmini, elektrik ve su tüketimi  gibi parametrelerin görüntülenmesini ve bu verilerin bulut sisteminde depolanmasını sağlamaktadır. Akıllı sulama sistemi, android arayüz ve sensörler sayesinde ideal sulama periyodu ve sulama süresini belirleyerek, hem elektrik enerjisi hem de su tasarrufu sağlamaktadır.

Keywords

• Nesnelerin İnterneti
• Akıllı Sulama
• Blynk
• Android
• NodeMCU
• DHT22

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