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Digital Agriculture [E-Book]

Contributor(s): Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: VIII, 306 p. 145 illus., 123 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031145339
Subject(s): Online resources:
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 Agrc̕ola -- Index.
Summary: 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.
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Item type Home library Class number URL Status Date due Barcode
Electronic book Hillingdon Hospitals Library Services (Hillingdon Hospitals NHS Foundation) Online Link to resource Available

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 Agrc̕ola -- Index.

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.

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