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Intelligent data mining and fusion systems in agriculture /

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 artifi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pantazi, Xanthoula-Eirini (Autor), Moshou, Dimitrios (Autor), Bochtis, Dionysis (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom : Academic Press, an imprint of Elsevier, [2020]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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