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Advances in AI for Plant Protection
Advances in AI for Plant Protection
Knygos.lt klubas Knygos.lt nariams
226,58 €
-30%
Įprastai
323,69 €
  • Planuojame turėti už 31 d.
This is a critical book that examines the power of artificial intelligence to transform the health of crops. It covers the latest AI technologies being used for proactive and accurate protection of plants. The book is a detailed guide on drones and robotics that are used to monitor and spray specific areas and provide highly advanced image processing that help in detecting diseases early on in crops such as wheat, cotton, and tomato. It fills the disconnect between data science and agronomy, in…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 390
  • ISBN-10: 103288567X
  • ISBN-13: 9781032885674
  • Kalba: Anglų

Advances in AI for Plant Protection (el. knyga) (skaityta knyga) | knygos.lt

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This is a critical book that examines the power of artificial intelligence to transform the health of crops. It covers the latest AI technologies being used for proactive and accurate protection of plants. The book is a detailed guide on drones and robotics that are used to monitor and spray specific areas and provide highly advanced image processing that help in detecting diseases early on in crops such as wheat, cotton, and tomato. It fills the disconnect between data science and agronomy, including smart sensing, predictive analytics, and integration with precision agriculture systems. The book sheds light on useful ways of managing the pest population sustainably and addresses ethical challenges that define the future of AI-enabled agriculture.

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  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 390
  • ISBN-10: 103288567X
  • ISBN-13: 9781032885674
  • Kalba: Anglų

This is a critical book that examines the power of artificial intelligence to transform the health of crops. It covers the latest AI technologies being used for proactive and accurate protection of plants. The book is a detailed guide on drones and robotics that are used to monitor and spray specific areas and provide highly advanced image processing that help in detecting diseases early on in crops such as wheat, cotton, and tomato. It fills the disconnect between data science and agronomy, including smart sensing, predictive analytics, and integration with precision agriculture systems. The book sheds light on useful ways of managing the pest population sustainably and addresses ethical challenges that define the future of AI-enabled agriculture.

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