SESSION SYNOPSIS
Nowadays when the global population is growing by more than 80 million a year, reported studies are predicting an increasing pressure on the planet's natural resources including food resources. Climate changes and global are related to new challenges for farmers to establish the right operation, at right time for better agricultural production. In this context, precision agriculture (PA) seeks to employ smart sensing, communication, artificial intelligence, and information technology to support farming operation and management, such as fertilizer inputs, irrigation management and pesticide application. Soil properties prediction for PA using visible and near-infrared spectroscopy can assist growers with their farming decisions, and more generally, can improve the application of operations, practices, and treatments in soil management. The temporal, spatial and individual information related to environmental parameters and crop features are gathered, processed and analyzed in the Internet-of-things PA ecosystem that combines various intelligent sensing technologies characterized by advanced processing and artificial intelligence algorithms. Can be also underlined the usage of vision-based measurement techniques that appear together with the unmanned aerial vehicle (UAV) and satellite latest developments.