Sustainability in Irrigation Practices Through 5G Optimization of Water Resources

Abstract

Background: With global food demand increasing, novel agricultural practices are critical for increasing productivity and minimising waste. Water, a crucial agricultural resource, must be used efficiently, which needs modern irrigation systems. Objective: The article investigates the possibility of 5G networks in changing conventional irrigation systems into intelligent, highly responsive, and managed infrastructures. The research integrates Internet of Things (IoT) sensors and machine learning algorithms to construct an intelligent irrigation model that uses 5G technology's quick data transfer, low latency, and widespread connection. Methodology: The study included year-long field tests that monitored soil moisture, rainfall, and crop health across various plants with varying water requirements. Data was gathered and delivered over a 5G network to a centralised control system that used machine learning techniques to change watering schedules dynamically. Results: Compared to traditional irrigation systems, the intelligent irrigation model resulted in a 30% reduction in water use, a 15% increase in crop output, and a 25% reduction in energy consumption. Conclusions: According to the study, 5G-enabled intelligent irrigation systems have the potential to revolutionise agricultural practises by providing more efficient, sustainable, and flexible water management solutions. This breakthrough is becoming more critical as climate change exacerbates water shortage issues. The article discusses how 5G networks might help to achieve global sustainability objectives by revolutionizing the agricultural industry and laying the groundwork for future research and development in intelligent farming technology.

Keywords

• 5g networks
• smart irrigation
• real-time monitoring
• machine learning
• iot sensors
• water management
• precision agriculture
• resource conservation
• crop yield
• energy efficiency.