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IoT weather predictive models and greenhouse gas emissions from agriculture

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Summary

IoT weather predictive models and greenhouse gas emissions from agriculture

S00225
Version: 1.11

  • arable farming
  • horticulture
  • food processing
  • test design
  • test setup
  • test execution
  • collection of test data
  • performance evaluation
  • provision of datasets
  • data augmentation
  • data analysis
  • certification
  • software or AI model
  • data
  • Location: in Italy
  • Offered by: UNINA

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Description

The service specializes in the testing and development of IoT (Internet of Things) solutions for weather monitoring systems and forecasting tailored specifically for agricultural needs. By leveraging cutting-edge technology, the aim is to assist farmers in mitigating climate change challenges and enhancing their resilience. Overall, the service is dedicated to empowering farmers with innovative IoT solutions that enable them to monitor weather conditions more effectively, make informed decisions, and build resilience in the face of climate change challenges.