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Electronics
Special Issues
Intelligent and Autonomous Sensor System for Precision Agriculture
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Intelligent and Autonomous Sensor System for Precision Agriculture

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 15 August 2025 | Viewed by 520

Special Issue Editors

Dr. Naoki Shiraishi

E-Mail Website
Guest Editor
National Agriculture and Food Research Organization (NARO), 3-1-1 Kannondai, Tsukuba 305-8517, Ibaraki, Japan
Interests: MEMS; soil sensors; cow rumen sensors; precision agriculture
Dr. Michitaka Yamamoto

E-Mail Website
Guest Editor
Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
Interests: microsystem integration; MEMS; cow rumen sensors; wearable device
Prof. Dr. Toshihiro Itoh

E-Mail Website
Guest Editor
Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
Interests: wireless sensor network; N/MEMS; microsystem packaging and integration; large-area MEMS
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The greenhouse gas emissions from agriculture, livestock, and land use have increased globally. Additionally, the increase in the human population emphasizes the importance of a stable supply of agricultural products and food. Therefore, it is essential to simultaneously reduce greenhouse gas emissions while increasing the productivity of agricultural and food products.

This Special Issue focuses on technologies in intelligent and autonomous sensor systems for smart precision agriculture that improve agricultural productivity while tilting the global environment toward realizing food security. This Special Issue will encompass a variety of related contributions from the keywords mentioned below.

Dr. Naoki Shiraishi
Dr. Michitaka Yamamoto
Prof. Dr. Toshihiro Itoh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Electronics 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 2400 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

  • sensor system for precision farming
  • sensor system for precision livestock farming
  • sensor system for smart agricultural machinery

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Published Papers (1 paper)

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Research

36 pages, 5913 KiB  
Article
Design and Temperature Control of a Novel Aeroponic Plant Growth Chamber
by Ali Guney and Oguzhan Cakir
Electronics 2025, 14(14), 2801; https://doi.org/10.3390/electronics14142801 - 11 Jul 2025
Viewed by 317
Abstract
It is projected that the world population will quadruple over the next century, and to meet future food demands, agricultural production will need to increase by 70%. Therefore, there has been a transition from traditional farming methods to autonomous modern agriculture. One such [...] Read more.
It is projected that the world population will quadruple over the next century, and to meet future food demands, agricultural production will need to increase by 70%. Therefore, there has been a transition from traditional farming methods to autonomous modern agriculture. One such modern technique is aeroponic farming, in which plants are grown without soil under controlled and hygienic conditions. In aeroponic farming, plants are significantly less affected by climatic conditions, infectious diseases, and biotic and abiotic stresses, such as pest infestations. Additionally, this method can reduce water, nutrient, and pesticide usage by 98%, 60%, and 100%, respectively, while increasing the yield by 45–75% compared to traditional farming. In this study, a three-dimensional industrial design of an innovative aeroponic plant growth chamber was presented for use by individuals, researchers, and professional growers. The proposed chamber design is modular and open to further innovation. Unlike existing chambers, it includes load cells that enable real-time monitoring of the fresh weight of the plant. Furthermore, cameras were integrated into the chamber to track plant growth and changes over time and weight. Additionally, RGB power LEDs were placed on the inner ceiling of the chamber to provide an optimal lighting intensity and spectrum based on the cultivated plant species. A customizable chamber design was introduced, allowing users to determine the growing tray and nutrient nozzles according to the type and quantity of plants. Finally, system models were developed for temperature control of the chamber. Temperature control was implemented using a proportional-integral-derivative controller optimized with particle swarm optimization, radial movement optimization, differential evolution, and mayfly optimization algorithms for the gain parameters. The simulation results indicate that the temperatures of the growing and feeding chambers in the cabinet reached a steady state within 260 s, with an offset error of no more than 0.5 °C. This result demonstrates the accuracy of the derived model and the effectiveness of the optimized controllers. Full article
(This article belongs to the Special Issue Intelligent and Autonomous Sensor System for Precision Agriculture)
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