Experimental Study and Evaluation of Farm Environmental Monitoring System Based on the Internet of Things – Sudan

Smart environment sensors integrated with ‘Internet of Things’ (IoT) technology can provide a new concept in tracking, sensing and monitoring objects of environment. the aim of the study is to evaluate the farm environmental monitoring system based on (IoT) and to realize the automate management of agriculture and the implementation of precision production. Until now, irrigation monitoring operations in Sudan are carried out using traditional methods, which is a very costed and unreliable mechanism. However, by utilizing soil moisture sensors, irrigation can be conducted only when needed without fear of plant water stress. The result showed that software application allows farmer to display current and historical data of soil moisture and nutrients in the form of line charts. Design measurement of the soil factors: moisture, electrical, humidity, conductivity, temperature, pH, phosphorus, and potassium, these factors together with timestamp are sending to data server using Lora WAN interface. It is considered scientifically agreed upon in the modern era that artificial intelligence works to arrange the necessary procedures to take care of the terrain, predict the quality and quantity of production through deep analysis of the various operations in agricultural fields, and also supports monitoring of weather conditions