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Knowledge Base

Anomaly detection

23
Nov
AI  ·  Newsroom
AI-Powered Anomaly Detection: Enhancing Disease Outbreak Identification in Real Time

Detecting and mitigating disease outbreaks in crops is a critical challenge for farmers worldwide. The timely identification of diseases can mean the difference between a successful harvest and devastating losses. To address this issue, Smart Droplets, an innovative agricultural project, […]

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Project Coordination

Dr. Spyros Fountas

Associate Professor
  • Agricultural University of Athens
  • 75 Iera Odos Str. 11855, Athens, Greece
Project Communication

Grigoris Chatzikostas

RFF Partner
  • reframe.food
  • 20 Leontos Sofou str, 57001, Thermi Thessalonikis, Greece

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

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