Description

Book Synopsis
This textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with examples and good illustrations.

Table of Contents
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.

Digital Agriculture

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    A Paperback / softback by Daniel Marçal de Queiroz, Domingos Sárvio M. Valente, Francisco de Assis de Carvalho Pinto

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      Publisher: Springer International Publishing AG
      Publication Date: Publication Date: 09/11/2023
      ISBN13: 9783031145353, 978-3031145353
      ISBN10: 3031145356

      Description

      Book Synopsis
      This textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with examples and good illustrations.

      Table of Contents
      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.

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