Internet of Things and Wireless Sensor Networks for Smart Vegetable Growing

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Artificial Intelligence and Digital Agriculture".

Deadline for manuscript submissions: 30 August 2025 | Viewed by 599

Special Issue Editors


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Guest Editor
Faculty of Еlectrical Engineering, Electronics and Automation, University of Ruse, 7004 Ruse, Bulgaria
Interests: internet of things (IoT); sensors; electronics; information and communication technologies (ICTs); data analysis; deep learning; classification; clustering analysis; precision agriculture

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Guest Editor
Department of Agricultural Machinery, Agrarian and Industrial Faculty, University of Ruse “Angel Kanchev”, 7004 Ruse, Bulgaria
Interests: modern agriculture technologies; smart greenhouses; smart vegetable growing; crop monitoring; precision farming; farm automation; remote monitoring; data-driven farming
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The advent of the Internet of Things (IoT) and wireless sensor networks (WSNs) has revolutionized modern agriculture, paving the way for smart vegetable growing. These technologies enable the precise monitoring and control of various environmental factors such as temperature, air humidity, soil moisture, and light levels. By integrating IoT and WSNs, farmers can access real-time data and automate critical processes, leading to enhanced crop yields, resource efficiency, and sustainability.

This Special Issue will explore the application of state-of-the-art technologies to allow smart vegetable growing, which includes, but is not limited to, indoor and outdoor crop production, smart irrigation and fertilization, crop yield monitoring and prediction, germination monitoring, field and zone management, crop protection, etc. We encourage the submission of original research articles and reviews involving the following topics:

  • Internet of Things and wireless sensor networks for real-time data collection;
  • Case studies related to the design and development of smart IoT-based greenhouse and aquaponic systems;
  • Different approaches for IoT data analysis, such as classification, clustering analysis, and deep learning;
  • Interaction between IoT and other technologies for ensuring efficient vegetable growing;
  • Robotics in vegetable crop production;
  • IoT-based irrigation, fertilization, and pesticide delivery systems;
  • Cloud computing and web and mobile decision support systems.

Dr. Boris Evstatiev
Dr. Atanas Atanasov
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensors
  • internet of things (IoT)
  • wireless sensor networks (WSNs)
  • machine learning
  • cloud computing
  • information systems
  • robotics
  • precision agriculture

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Published Papers (1 paper)

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Research

24 pages, 1376 KiB  
Article
Smart Agriculture in Ecuador: Adoption of IoT Technologies by Farmers in Guayas to Improve Agricultural Yields
by Ruth Rubí Peña-Holguín, Carlos Andrés Vaca-Coronel, Ruth María Farías-Lema, Sonnia Valeria Zapatier-Castro and Juan Diego Valenzuela-Cobos
Agriculture 2025, 15(15), 1679; https://doi.org/10.3390/agriculture15151679 (registering DOI) - 2 Aug 2025
Abstract
The adoption of digital technologies, such as the Internet of Things (IoT), has emerged as a key strategy to improve efficiency, sustainability, and productivity in the agricultural sector, especially in contexts of modernization and digital transformation in developing regions. This study analyzes the [...] Read more.
The adoption of digital technologies, such as the Internet of Things (IoT), has emerged as a key strategy to improve efficiency, sustainability, and productivity in the agricultural sector, especially in contexts of modernization and digital transformation in developing regions. This study analyzes the key factors influencing the adoption of IoT technologies by farmers in the province of Guayas, Ecuador, and their impact on agricultural yields. The research is grounded in innovation diffusion theory and technology acceptance models, which emphasize the role of perception, usability, training, and economic viability in digital adoption. A total of 250 surveys were administered, with 232 valid responses (92.8% response rate), reflecting strong interest from the agricultural sector in digital transformation and precision agriculture. Using structural equation modeling (SEM), the results confirm that general perception of IoT (β = 0.514), practical functionality (β = 0.488), and technical training (β = 0.523) positively influence adoption, while high implementation costs negatively affect it (β = −0.651), all of which are statistically significant (p < 0.001). Furthermore, adoption has a strong positive effect on agricultural yield (β = 0.795). The model explained a high percentage of variance in both adoption (R2 = 0.771) and performance (R2 = 0.706), supporting its predictive capacity. These findings underscore the need for public and private institutions to implement targeted training and financing strategies to overcome economic barriers and foster the sustainable integration of IoT technologies in Ecuadorian agriculture. Full article
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