Successful PLC Based Solar Powered Automated Irrigation System Prototyping for Water-Strained Agricultural Nations Like Pakistan

  • Faazla Iqbal Department of Hydro informatics, IHE Delft, 2614 JK, Netherlands
Keywords: Auto-irrigation, Programmable Logic Controller (PLC), Human Machine Interface (HMI), S7-1200 PLC, Smart farming, Precision agriculture, Internet of Things (IoT) in agriculture, AgriTech IoT, Sustainable agriculture, Renewable energy in agriculture, Automated irrigation systems, Agro-informatics, Climate-smart agriculture, Digital farming, Data-driven agriculture

Abstract

Water scarcity poses a critical challenge to agricultural sustainability in nations like Pakistan, despite abundant solar energy potential offering a sustainable solution for year-round productivity enhancement. This research focuses on designing and prototyping a PLC-based solar-powered automated irrigation system tailored for water-strained agricultural nations. 

The primary goal of this research is to design, prototype, and evaluate a PLC-based solar-powered automated irrigation system. The study utilizes PLC technology (Siemens SIMATIC S7-1200) for automation, incorporating capacitive moisture sensors for closed-loop control based on soil moisture and environmental data for data-driven decision making and precision agriculture. HMI is employed for real-time monitoring and control interface. Results from prototype development show promising outcomes in optimizing water use efficiency and reducing reliance on unreliable electricity sources. This paper underscores the potential of such technologies in fostering sustainable AgriTech development and addressing the pressing water challenges faced by agricultural sectors in developing countries. Prototype development and testing have shown significant improvements in water efficiency compared to traditional irrigation methods. Automated control based on real-time sensor feedback has demonstrated precise water management, enhancing crop yield potential without increasing water consumption.

Published
2024-11-07