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<p>This paper presents the Nova Tellus project, a pioneering platform that integrates blockchain technology and artificial intelligence within a unified information system to advance smart agricultural practices. Built on a private Hyperledger Fabric blockchain infrastructure, Nova Tellus enables secure, transparent collection, storage, and sharing of data from IoT devices deployed in agricultural environments. An AI module trained on a comprehensive dataset, including field observations, satellite imagery, and climate data, supports phenological phase classification and adversity detection across multiple crop types, providing data-driven insights for farm decision-making. Results show that the integrated blockchain-AI system effectively combines secure data provenance with robust analytical capabilities, enhancing the credibility and traceability of AI-generated insights. The AI component achieved strong performance, such as an F1-Score of 0.89 for olive phenological classification and 0.70 for grapevine adversity detection, demonstrating its ability to deliver reliable, real-time decision support. Overall, Nova Tellus highlights the substantial potential of combining blockchain and AI within agricultural information systems to enable transparent, intelligent, and sustainable farming practices.</p>

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Nova Tellus: Integrating Blockchain and AI for Advanced Agricultural Management

  • 期刊论文

  • 发表日期：

    2026年1月14日

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  • Nicola Bonavita,
  • Claudio Di Florio,
  • Valerio Esposito,
  • Emanuela Guglielmi,
  • Rocco Oliveto,
  • Remo Pareschi,
  • Francesco Salzano,
  • Simone Scalabrino

摘要

This paper presents the Nova Tellus project, a pioneering platform that integrates blockchain technology and artificial intelligence within a unified information system to advance smart agricultural practices. Built on a private Hyperledger Fabric blockchain infrastructure, Nova Tellus enables secure, transparent collection, storage, and sharing of data from IoT devices deployed in agricultural environments. An AI module trained on a comprehensive dataset, including field observations, satellite imagery, and climate data, supports phenological phase classification and adversity detection across multiple crop types, providing data-driven insights for farm decision-making. Results show that the integrated blockchain-AI system effectively combines secure data provenance with robust analytical capabilities, enhancing the credibility and traceability of AI-generated insights. The AI component achieved strong performance, such as an F1-Score of 0.89 for olive phenological classification and 0.70 for grapevine adversity detection, demonstrating its ability to deliver reliable, real-time decision support. Overall, Nova Tellus highlights the substantial potential of combining blockchain and AI within agricultural information systems to enable transparent, intelligent, and sustainable farming practices.