Implementation of Smart Supply Chain Management in Agriculture

In order to maintain global population growth and food security, agriculture is an essential industry. To full fill the rising demand for food while reducing resource limits, there has been a growing need in recent years to improve agricultural techniques. By using the, real-time data from microcontrollers to maximize agricultural output is one promising strategy. The potential of using real-time data from microcontrollers in agriculture to enhance production and resource management is examined in this abstract. With the help of a variety of sensors and actuators, microcontrollers can gather and analyse information on temperature, humidity, rainfall level, and other environmental factors that have a big impact on crop output and growth. Microcontrollers can wirelessly transfer the data they collect to a central system so that machine learning and advanced analytics can be used.