LoRa based intelligent soil and weather condition monitoring with internet of things for precision agriculture in smart cities

Urban Farm DB summary

Against a backdrop of urbanization expected to account for about 50% of the world population by 2050 and projected freshwater shortages in India by the same year, this article examines the potential of IoT (Internet of Things) and machine learning (ML) to support urban and precision agriculture in smart cities, including irrigation, rainfall, and drought condition monitoring to assist farmer decision-making. It presents the design of an intelligent irrigation system based on soil and weather conditions, with parameters selected from prior Agriculture 4.0 and ML research, and compares the developed weather station against existing patented technologies, stating that the resulting system provides a cost-effective solution for local weather monitoring.