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Modelling Insect Populations in Agricultural Landscapes

About Modelling Insect Populations in Agricultural Landscapes

This book combines chapters emphasising mathematical, statistical, and computational modelling applied to insect populations, particularly pests or natural enemies in agricultural landscapes. There is a gap between agricultural pest experimentation and ecological theory, which requires a connection to supply models with laboratory, and field estimates and projects receiving inputs and insights from models. In addition, decision-making in entomology with respect to pest management and biological conservation of natural enemies has been supported by results obtained from different computational and mathematical approaches. This book brings contemporary issues related to optimization in spatially structured landscapes, insect movement, stability analysis, game theory, machine learning, computer vision, Bayesian modelling, as well as other frameworks.

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  • Language:
  • English
  • ISBN:
  • 9783031430978
  • Binding:
  • Hardback
  • Pages:
  • 256
  • Published:
  • January 31, 2024
  • Edition:
  • 24001
  • Dimensions:
  • 160x20x241 mm.
  • Weight:
  • 553 g.
Delivery: 2-4 weeks
Expected delivery: January 24, 2025
Extended return policy to January 30, 2025
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Description of Modelling Insect Populations in Agricultural Landscapes

This book combines chapters emphasising mathematical, statistical, and computational modelling applied to insect populations, particularly pests or natural enemies in agricultural landscapes. There is a gap between agricultural pest experimentation and ecological theory, which requires a connection to supply models with laboratory, and field estimates and projects receiving inputs and insights from models. In addition, decision-making in entomology with respect to pest management and biological conservation of natural enemies has been supported by results obtained from different computational and mathematical approaches. This book brings contemporary issues related to optimization in spatially structured landscapes, insect movement, stability analysis, game theory, machine learning, computer vision, Bayesian modelling, as well as other frameworks.

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