IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i8p810-d1630610.html
   My bibliography  Save this article

Smart Farming Technologies for Sustainable Agriculture: A Case Study of a Mediterranean Aromatic Farm

Author

Listed:
  • Carlo Greco

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Buildingss 4–5, 90128 Palermo, Italy)

  • Raimondo Gaglio

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Buildingss 4–5, 90128 Palermo, Italy)

  • Luca Settanni

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Buildingss 4–5, 90128 Palermo, Italy)

  • Lino Sciurba

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Buildingss 4–5, 90128 Palermo, Italy)

  • Salvatore Ciulla

    (Association of Producers SiciliaBio, Via Vittorio Emanuele 100, Favara 92026, Italy)

  • Santo Orlando

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Buildingss 4–5, 90128 Palermo, Italy)

  • Michele Massimo Mammano

    (CREA—Research Centre for Plant Protection and Certification, Council for Agricultural Research and Analysis of the Agricultural Economy, 90133 Palermo, Italy)

Abstract

Consumer interest in medicinal and aromatic herbs is on the rise, with buyers increasingly concerned about the microbiological quality of nutraceutical and aromatic plants. The use of Unmanned Aerial Vehicles (UAVs) and sensor technology allows for high-resolution crop monitoring, particularly in the production of rosemary and sage in Grotte (Italy), Agrigento District. The aim of this study is to evaluate the efficacy of UAV-based time series remote sensing data and multimodal data fusion using RGB and multispectral sensors in rosemary and sage harvesting time individuation and the microbiological quality of these nutraceutical and aromatic plants before and after an innovative and sustainable drying process. The multispectral data were acquired with a DJI multispectral camera mounted on a Phantom 4 UAV. The use of drones in the aromatic plant crops can lead to improved efficiency, productivity, and profitability for farmers and businesses. Italian producers follow strict hygiene regulations to reduce bacterial contamination, particularly during the crucial drying process. A rapid drying method at low temperature using a dryer powered by a photovoltaic renewable energy source (RES) helps preserve the quality of the plants. Real-time monitoring of the drying process is enabled through a system based on wireless sensor networks (WSN), providing valuable data on moisture content, drying rates, and microbial stability. Overall, the innovative use of drones, sensor technology, and renewable energy sources in the production of aromatic herbs like rosemary and sage holds great potential for enhancing crop quality, shelf life, and overall sustainability in the chain food industry.

Suggested Citation

  • Carlo Greco & Raimondo Gaglio & Luca Settanni & Lino Sciurba & Salvatore Ciulla & Santo Orlando & Michele Massimo Mammano, 2025. "Smart Farming Technologies for Sustainable Agriculture: A Case Study of a Mediterranean Aromatic Farm," Agriculture, MDPI, vol. 15(8), pages 1-17, April.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:8:p:810-:d:1630610
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/8/810/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/8/810/
    Download Restriction: no
    ---><---

    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:15:y:2025:i:8:p:810-:d:1630610. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.