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State of the Art of Monitoring Technologies and Data Processing for Precision Viticulture

Author

Listed:
  • Marco Ammoniaci

    (CREA—Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Viale Santa Margherita, 80, 52100 Arezzo, Italy)

  • Simon-Paolo Kartsiotis

    (CREA—Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Viale Santa Margherita, 80, 52100 Arezzo, Italy)

  • Rita Perria

    (CREA—Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Viale Santa Margherita, 80, 52100 Arezzo, Italy)

  • Paolo Storchi

    (CREA—Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Viale Santa Margherita, 80, 52100 Arezzo, Italy)

Abstract

Precision viticulture (PV) aims to optimize vineyard management, reducing the use of resources, the environmental impact and maximizing the yield and quality of the production. New technologies as UAVs, satellites, proximal sensors and variable rate machines (VRT) are being developed and used more and more frequently in recent years thanks also to informatics systems able to read, analyze and process a huge number of data in order to give the winegrowers a decision support system (DSS) for making better decisions at the right place and time. This review presents a brief state of the art of precision viticulture technologies, focusing on monitoring tools, i.e., remote/proximal sensing, variable rate machines, robotics, DSS and the wireless sensor network.

Suggested Citation

  • Marco Ammoniaci & Simon-Paolo Kartsiotis & Rita Perria & Paolo Storchi, 2021. "State of the Art of Monitoring Technologies and Data Processing for Precision Viticulture," Agriculture, MDPI, vol. 11(3), pages 1-20, February.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:3:p:201-:d:507807
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    References listed on IDEAS

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    1. Alessandro Matese & Salvatore Filippo Di Gennaro, 2018. "Practical Applications of a Multisensor UAV Platform Based on Multispectral, Thermal and RGB High Resolution Images in Precision Viticulture," Agriculture, MDPI, vol. 8(7), pages 1-13, July.
    2. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    3. Schimmelpfennig, David & Ebel, Robert, 2016. "Sequential Adoption and Cost Savings from Precision Agriculture," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-19, January.
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    Cited by:

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    2. Dorijan Radočaj & Ivan Plaščak & Mladen Jurišić, 2023. "Global Navigation Satellite Systems as State-of-the-Art Solutions in Precision Agriculture: A Review of Studies Indexed in the Web of Science," Agriculture, MDPI, vol. 13(7), pages 1-17, July.
    3. Eleonora Cataldo & Maddalena Fucile & Giovan Battista Mattii, 2022. "Effects of Kaolin and Shading Net on the Ecophysiology and Berry Composition of Sauvignon Blanc Grapevines," Agriculture, MDPI, vol. 12(4), pages 1-21, March.
    4. Sandra N. Fredes & Luis Á. Ruiz & Jorge A. Recio, 2021. "Modeling °Brix and pH in Wine Grapes from Satellite Images in Colchagua Valley, Chile," Agriculture, MDPI, vol. 11(8), pages 1-18, July.
    5. Veronica Sanda Chedea & Ana-Maria Drăgulinescu & Liliana Lucia Tomoiagă & Cristina Bălăceanu & Maria Lucia Iliescu, 2021. "Climate Change and Internet of Things Technologies—Sustainable Premises of Extending the Culture of the Amurg Cultivar in Transylvania—A Use Case for Târnave Vineyard," Sustainability, MDPI, vol. 13(15), pages 1-28, July.
    6. Sergio Vélez & Rubén Vacas & Hugo Martín & David Ruano-Rosa & Sara Álvarez, 2022. "High-Resolution UAV RGB Imagery Dataset for Precision Agriculture and 3D Photogrammetric Reconstruction Captured over a Pistachio Orchard ( Pistacia vera L.) in Spain," Data, MDPI, vol. 7(11), pages 1-11, November.

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