Chapter 1 - The Agriculture Eras.- ​Chapter 2 - Global Navigation Satellite Systems.- ​Chapter 3 - Spatial and Temporal Variability Analysis.- ​Chapter 4 - Images and Remote Sensing Applied to Agricultural Management.- ​Chapter 5 - Geoprocessing Applied to Crop Management.- ​Chapter 6 - Sampling and Interpretation of Maps.- ​Chapter 7 - Agricultural Drones' Application.- ​Chapter 8 - Sensors and Actuators.- ​Chapter 9 - Control and Automation Systems in Agricultural Machinery.- ​Chapter 10 - Digital Irrigation.- ​Chapter 11 - Digital Livestock Farming.- ​Chapter 12 - Internet of Things In Agriculture.- ​Chapter 13 - Data transmission, cloud computing and Big Data.- ​Chapter 14 - Machine Learning.- ​Chapter 15 - Platforms, Applications and Software.- ​Chapter 16 - Digital Data: Cycle, Standardization, Quality, Sharing and Security.- ​Chapter 17 - Case Study: SLC Agrícola.- Index.