Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
PDF
  • eBook:
    Intelligent Data Mining and Fusion Systems in Agriculture
  • Author:
    Xanthoula-Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis
  • Edition:
    1 edition
  • Categories:
  • Data:
    October 23, 2019
  • ISBN:
    0128143916
  • ISBN-13:
    9780128143919
  • Language:
    English
  • Pages:
    330 pages
  • Format:
    PDF

Book Description
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms.

Content

CHAPTER 1. Sensors in agriculture
CHAPTER 2. Artificial intelligence in agriculture
CHAPTER 3. Utilization of multisensors and data fusion in precision agriculture
CHAPTER 4. Tutorial I: Weed detection
CHAPTER 5. Tutorial II: Disease detection with fusion techniques
CHAPTER 6. Tutorial III: Disease and nutrient stress detection
CHAPTER 7. Tutorial IV: Leaf disease recognition
CHAPTER 8. Tutorial V: Yield prediction
CHAPTER 9. Tutorial VI: Postharvest phenotyping
CHAPTER 10. General overview of the proposed data mining and fusion techniques in agriculture

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