Precision Farming Based on Artificial Intelligence Algorithms: Monitoring of Agricultural Fields Based on the Description and Analysis of Data Obtained by Several Sensors

Precision agriculture, as a primary concern, allows modern growers to apply the latest technologies to increase production efficiency and yield. This goal is based on the use of the Internet of Things (IoT), artificial intelligence, and machine learning. IoT makes it possible to create an ‘interconnection between the Internet and objects, places, and physical environments, for the purpose of connecting these with humans, and to collect the necessary data and information in order to analyze and make decisions. Using machine learning algorithms to act as quickly as possible in an area requires rapid intervention to avoid disasters and improve productivity. Below, we will see an application using IoT and artificial intelligence in agriculture to collect data accessible online on a website platform.