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Intelligent data mining and fusion systems in agriculture /

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Bibliographic Details
Main Authors: Pantazi, Xanthoula-Eirini (Author), Moshou, Dimitrios (Author), Bochtis, Dionysis (Author)
Corporate Author: ProQuest (Firm)
Format: eBook
Language:English
Published: London, United Kingdom : Academic Press, an imprint of Elsevier, [2020]
Subjects:
Agriculture > Data processing.
Data mining.
Artificial intelligence > Agricultural applications.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Sensors in agriculture
  • Artificial intelligence in agriculture
  • Utilization of multisensors and data fusion in precision agriculture
  • Tutorial I : Weed detection
  • Tutorial II : Disease detection with fusion techniques
  • Tutorial III : Disease and nutrient stress detection
  • Tutorial IV : Leaf disease recognition
  • Tutorial V : Yield prediction
  • Tutorial VI : Postharvest phenotyping
  • General overview of the proposed data mining and fusion techniques in agriculture