Precision Agriculture Meets IoT: Advanced Detection Systems for Crop Health
A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Computer Applications and Artificial Intelligence in Agriculture".
Deadline for manuscript submissions: closed (31 August 2025) | Viewed by 1149
Special Issue Editors
Interests: electronic circuits; IoT; precision agriculture; electronic systems for measuring the motion of micro-electro-mechanical devices; sensors and actuators; control systems; machine vision
Special Issues, Collections and Topics in MDPI journals
Interests: analog electronics; measurement systems; sensors; instrumentation; IoT; precision agriculture
Interests: soil science; physical and chemical properties of soils; soil fertility; problematic soils and soil pollution; sustainable management of soils; restoration and management of degraded soils; applications of precision agriculture in soil science
Special Issue Information
Dear Colleagues,
Using the Internet of Things (IoT) can help farmers implement sophisticated sensing systems to monitor crop health remotely and in real-time. Advances in IoT technology have provided new capabilities that can be incorporated into precision agriculture, such as disease detection, monitoring of soil and environmental conditions, and optimization of water and fertilizer use. These systems provide, through remote communication between nodes, enable the farmer to intervene in the field, either automatically or manually using decision-making systems.
These monitoring systems incorporate sensors to collect field data. The data are transmitted to the central nodes where they are analyzed and processed. In some cases, data analysis and processing, which may be carried out using artificial intelligence and machine learning, allow for the timely detection of problems and accurate assessment of crop conditions.
This Special Issue aims to bring together recent developments and applications of the Internet of Things (IoT) and precision agriculture for advanced detection systems in crop health and original research articles and reviews are welcome.
This Special Issue focuses on, but is not limited to, agricultural engineering in the following areas:
- IoT systems for crop health monitoring;
- Sensors and detection technologies for precision agriculture;
- Data analytics and artificial intelligence in agriculture;
- Networking and communication in agricultural applications;
- Electronic circuits and embedded systems for agricultural applications;
- Intelligent crop monitoring and management systems;
- Wireless sensor networks (WSNs) for agricultural applications;
- Machine learning and predictive algorithms for agriculture;
- Multispectral imaging and camera systems;
- Noninvasive imaging of crops;
- Laser scanning thermography.
Dr. Kyriakos Tsiakmakis
Dr. Argyrios Hatzopoulos
Dr. Stefanos Stefanou
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. AgriEngineering is an international peer-reviewed open access monthly 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 1600 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
- precision agriculture
- IoT
- detection systems
- crop health
- plant monitoring
- smart farming
- sustainable agriculture
- data analytics in agriculture
- sensors
- electronic and embedded systems in agriculture
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