Abstract
As the world turns to new technologies and applications, advancing agricultural development goals is essential. The Internet of Things is essential for smart agriculture. IoT sensors are capable of providing farmland data. This study offers an automated IoT and smart farming system. An IoT-based agricultural monitoring system uses wireless sensor networks to collect data from multiple sensors placed on multiple nodes and transmit data using wireless protocols. The use of IoT has, to a large extent, influenced the efficiency of farming activities by providing accurate use of resources in farming. These smart farming systems are interconnectivity devices such as the moisture in the soil, weather stations, and automated irrigation systems, whereby farmers are able to receive real-time data. It helps farmers in achieving the best practices in crop management; they use water in an efficient way, use fertilizer, and even control pests. However, mechanization also received an improvement through the use of machine learning algorithms and artificial intelligence, which have extended the functionalities of smart farming systems. Such technologies can process a sizable amount of data to estimate crop yield, diagnose crop diseases in their early stages, and give a particular course of action appropriate for a definite field or crop.
Keywords: Agriculture IoT, Embedded Systems, Precision Agriculture, Robotics, Smart Farming, Wireless Sensor Networks.