IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i3p201-d507807.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/3/201/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/11/3/201/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Antonio Comparetti & Jose Rafael Marques da Silva, 2022. "Use of Sentinel-2 Satellite for Spatially Variable Rate Fertiliser Management in a Sicilian Vineyard," Sustainability, MDPI, vol. 14(3), pages 1-18, February.
    4. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chin-Ling Lee & Robert Strong & Kim E. Dooley, 2021. "Analyzing Precision Agriculture Adoption across the Globe: A Systematic Review of Scholarship from 1999–2020," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    2. Späti, Karin & Huber, Robert & Finger, Robert, 2021. "Benefits of Increasing Information Accuracy in Variable Rate Technologies," Ecological Economics, Elsevier, vol. 185(C).
    3. LoPiccalo, Katherine, 2022. "Impact of broadband penetration on U.S. Farm productivity: A panel approach," Telecommunications Policy, Elsevier, vol. 46(9).
    4. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.
    5. Bhoomin Tanut & Rattapoom Waranusast & Panomkhawn Riyamongkol, 2021. "High Accuracy Pre-Harvest Sugarcane Yield Forecasting Model Utilizing Drone Image Analysis, Data Mining, and Reverse Design Method," Agriculture, MDPI, vol. 11(7), pages 1-21, July.
    6. Thomas M. Koutsos & Georgios C. Menexes & Andreas P. Mamolos, 2021. "The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    7. Julian M. Alston & Philip G. Pardey, 2020. "Innovation, Growth, and Structural Change in American Agriculture," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 123-165, National Bureau of Economic Research, Inc.
    8. Xiuli Zhang & Yikun Pei & Yong Chen & Qianglong Song & Peilin Zhou & Yueqing Xia & Xiaochan Liu, 2022. "The Design and Experiment of Vertical Variable Cavity Base Fertilizer Fertilizing Apparatus," Agriculture, MDPI, vol. 12(11), pages 1-15, October.
    9. Vecchio, Yari & De Rosa, Marcello & Adinolfi, Felice & Bartoli, Luca & Masi, Margherita, 2020. "Adoption of precision farming tools: A context-related analysis," Land Use Policy, Elsevier, vol. 94(C).
    10. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    11. Wang, Sun Ling & Hoppe, Robert A & Hertz, Thomas & Xu, Shicong, 2022. "Farm Labor, Human Capital, and Agricultural Productivity in the United States," Economic Research Report 327178, United States Department of Agriculture, Economic Research Service.
    12. Pomi Shahbaz & Shamsheer ul Haq & Azhar Abbas & Zahira Batool & Bader Alhafi Alotaibi & Roshan K. Nayak, 2022. "Adoption of Climate Smart Agricultural Practices through Women Involvement in Decision Making Process: Exploring the Role of Empowerment and Innovativeness," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    13. Madhu Khanna & Shady S. Atallah & Saurajyoti Kar & Bijay Sharma & Linghui Wu & Chengzheng Yu & Girish Chowdhary & Chinmay Soman & Kaiyu Guan, 2022. "Digital transformation for a sustainable agriculture in the United States: Opportunities and challenges," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 924-937, November.
    14. Adamashvili Nino & Fiore Mariantonietta & Contò Francesco & La Sala Piermichele, 2020. "Ecosystem for Successful Agriculture. Collaborative Approach as a Driver for Agricultural Development," European Countryside, Sciendo, vol. 12(2), pages 242-256, June.
    15. Zhao Xue & Jun Fu & Qiankun Fu & Xiaokang Li & Zhi Chen, 2023. "Modeling and Optimizing the Performance of Green Forage Maize Harvester Header Using a Combined Response Surface Methodology–Artificial Neural Network Approach," Agriculture, MDPI, vol. 13(10), pages 1-16, September.
    16. Stefania Troiano & Matteo Carzedda & Francesco Marangon, 2023. "Better richer than environmentally friendly? Describing preferences toward and factors affecting precision agriculture adoption in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-15, December.
    17. Balaine, Lorraine & Dillon, Emma J. & Läpple, Doris & Lynch, John, 2020. "Can technology help achieve sustainable intensification? Evidence from milk recording on Irish dairy farms," Land Use Policy, Elsevier, vol. 92(C).
    18. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    19. Solinas, Stefania & Tiloca, Maria Teresa & Deligios, Paola A. & Cossu, Marco & Ledda, Luigi, 2021. "Carbon footprints and social carbon cost assessments in a perennial energy crop system: A comparison of fertilizer management practices in a Mediterranean area," Agricultural Systems, Elsevier, vol. 186(C).
    20. Dhoubhadel, Sunil P., 2020. "Precision Agriculture Technologies and Farm Profitability," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304229, Agricultural and Applied Economics Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:11:y:2021:i:3:p:201-:d:507807. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.