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    • 10th SmartData@PoliTO Workshop – Present and Future Directions
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    • La biblioteca nel metaverso – la Reading & Machine
  • Workshops
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      • On the dynamics of music virality and its relation with mainstream success
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      • Empowering Data Owners with Control in Outsourcing and Sharing Scenarios
    • SmartTalks
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    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
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Home » Publications » Improved large-scale crop water requirement estimation through new high-resolution reanalysis dataset

Improved large-scale crop water requirement estimation through new high-resolution reanalysis dataset

Matteo Rolle, Stefania Tamea, Pierluigi Claps (2020) Improved large-scale crop water requirement estimation through new high-resolution reanalysis dataset

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