Description
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 Agrcola.- Index.
