Smart Farming Technologies for Sustainable Agriculture—2nd Edition

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 1173

Special Issue Editors


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Guest Editor
Agricultural Research Institute, Rural Development Section, P.O. Box 22016, Nicosia 1516, Cyprus
Interests: economics of agricultural production; sustainability assessment of farming systems; adoption of agricultural innovations; smart farming technologies
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Guest Editor
Agricultural Research Institute, Rural Development Section, P.O. Box 22016, Nicosia 1516, Cyprus
Interests: human-robot interaction; IoT in agriculture; smart farming; precision agriculture
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Agricultural Research Institute, Natural Resources and Environment Section, P.O. Box 22016, Nicosia 1516, Cyprus
Interests: plant physiology; plant nutrition; hydroponics; sustainable intensive agriculture; precision irrigation and nutrient management; smart farming approaches
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Netherlands Organisation for Applied Scientific Research, Anna van Buerenplein 1, NL-2595 DA The Hague, The Netherlands
Interests: sustainable agriculture and food systems; ICT in agrifood; environmental and social impact of technologies in agrifood; data science and AI in sustainable agriculture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart farming (SF) involves a variety of technologies, such as mapping and recording technologies (satellite and unmanned aerial vehicle imagery, multiple types of sensors, and Internet of Things-connected weather stations), farm management information systems or decision support systems, and technologies such as variable rate applications and agricultural robots. SF has been suggested as a promising driver for achieving higher sustainability performance without compromising the environment or human health. SF technologies may potentially lead to more efficient use of inputs (e.g., fertilizers, pesticides, irrigation, labor), to the reduction in production costs, to the minimization of the environmental footprint, and to improved product quality. In the light of climate breakdown and the need for adaptation and mitigation policies, the adoption of SF technologies is now more than ever an imperative. However, the adoption rate, especially by small- and medium-sized farms, is still low or fragmented, and the tools provided by SF have not yet moved into mainstream farm management. This low uptake is due to various factors, including the low perceived usefulness. There is a need to provide evidence of the actual impacts of SF technologies for agricultural sustainability and to persuade farmers of the actual benefits of SF. The objective of this Special Issue is to identify the (positive or negative) impacts of SF technologies on the economic, environmental, and social sustainability of farming systems, including agri-food value chains, and, thereby, enable informed choices by farmers. We invite you to contribute to this Special Issue by submitting original research articles, reviews, and case studies that provide scientific evidence of the actual impacts of SF technologies on the environmental, economic, and social sustainability of farms. Contributions related to the development of traceability systems based on recorded data from SF technologies are also welcome insofar as they highlight the impacts on sustainability. We look forward to receiving your contributions on the broad topic of this Special Issue in order to foster discussions within this important emerging field.

Dr. Andreas Stylianou
Dr. George Adamides
Dr. Damianos Neocleous
Prof. Dr. Christopher Brewster
Guest Editors

Manuscript Submission Information

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Keywords

  • smart farming technologies
  • precision agriculture
  • digitalization
  • sensors
  • internet of things
  • decision support systems
  • indicators
  • sustainable agriculture and agri-food value chains
  • sustainability assessment
  • sustainability impacts

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Published Papers (1 paper)

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Review

28 pages, 2541 KiB  
Review
Intelligent Rapid Asexual Propagation Technology—A Novel Aeroponics Propagation Approach
by Lingdi Tang, Ain-ul-Abad Syed, Ali Raza Otho, Abdul Rahim Junejo, Mazhar Hussain Tunio, Li Hao, Mian Noor Hussain Asghar Ali, Sheeraz Aleem Brohi, Sohail Ahmed Otho and Jamshed Ali Channa
Agronomy 2024, 14(10), 2289; https://doi.org/10.3390/agronomy14102289 - 5 Oct 2024
Viewed by 699
Abstract
Various rapid propagation strategies have been discovered, which has facilitated large-scale plant reproduction and cultivar development. These methods, in many plant species, are used to rapidly generate large quantities (900 mini-tubers/m2) of high-quality propagule (free from contamination) at a relatively low [...] Read more.
Various rapid propagation strategies have been discovered, which has facilitated large-scale plant reproduction and cultivar development. These methods, in many plant species, are used to rapidly generate large quantities (900 mini-tubers/m2) of high-quality propagule (free from contamination) at a relatively low cost in a small space. They are also used for plant preservation. This review article aims to provide potential applications for regeneration and clonal propagation. Plant propagation using advanced agrotechnology, such as aeroponics, is becoming increasingly popular among academics and industrialists. The advancement of asexual aeroponic propagation has been achieved through advancements in monitoring and control systems using IoT and smart sensor technology. New sensor technology systems have gained substantial interest in agriculture in recent years. It is used in agriculture to precisely arrange various operations and objectives while harnessing limited resources with minimal human intervention. Modern intelligent technologies and control systems simplify sensor data collection, making it more efficient than manual data collection, which can be slow and prone to errors. Specific ambient variables like temperature, humidity, light intensity, stock solution concentrations (nutrient water), EC (electrical conductivity), pH values, CO2 content, and atomization parameters (frequency and interval) are collected more effectively through these systems. The use of intelligent technologies provides complete control over the system. When combined with IoT, it aids in boosting crop quality and yield while also lowering production costs and providing data directly to tablets and smartphones in aeroponic propagation systems. It can potentially increase the system’s productivity and usefulness compared to the older manual monitoring and operating methods. Full article
(This article belongs to the Special Issue Smart Farming Technologies for Sustainable Agriculture—2nd Edition)
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