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Smart Machinery and Control System for Precision Agriculture
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Smart Machinery and Control System for Precision Agriculture

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 3017

Special Issue Editor

Prof. Dr. Reza Fotouhi

E-Mail Website
Guest Editor
Mechanical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
Interests: robotics (dynamics and control); structural dynamics and vibrations; computational mechanics (finite element and optimization); biomechanics

Special Issue Information

Dear Colleagues,

Precision agriculture is a strategy that gathers and analyzes data and combines it with other information to support decisions for improved resource-use efficiency in agricultural production. This Special Issue focuses on recent advances in all areas of precision agriculture applications. The aim of this Special Issue is to reflect on the latest applications in sensor technologies, covering a diverse range of sensing mechanisms and applications. We invite you to submit your contribution to this Special Issue of Sensors, “Smart Machinery and Control System for Precision Agriculture”. New and emerging applications for mechanisms and robot analyses are encouraged. Particularly, the application of mobile robots and manipulators in farming and crop production are welcomed.

Both reviews and original research articles are welcomed. Reviews should provide an up-to-date and critical overview of state-of-the-art technologies in the research fields applied to precision agriculture.

Topics for this Special Issue include, but are not limited to:

  • Engineering technology, focusing on sensor systems, computational techniques, positioning systems, and control systems for agriculture applications;
  • Adoption and economics of precision agriculture management;
  • Physical, mechanical, and electromagnetic sensor applications;
  • Multiplexing and sensor networking applications.

Prof. Dr. Reza Fotouhi
Guest Editor

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. Sensors 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

  • smart machinery and control systems for precision agriculture
  • robots, mechanisms, smart machines, and agriculture
  • control systems, sensor networks, and measurement sensors
  • precision farming, agronomy, and management

Published Papers (2 papers)

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Research

21 pages, 9852 KiB  
Article
Optimized Design of Touching Parts of Soil Disinfection Machine Based on Strain Sensing and Discrete Element Simulation
by Jianmin Gao, Yuhao Shen and Benlei Ma
Sensors 2023, 23(14), 6369; https://doi.org/10.3390/s23146369 - 13 Jul 2023
Cited by 4 | Viewed by 904
Abstract
With the increasing level in the intensification of agricultural production in China, continuous cropping obstacles have become a problem that needs to be solved. The use of vertical rotary tillage technology and soil disinfection technology is an effective solution. In this paper, a [...] Read more.
With the increasing level in the intensification of agricultural production in China, continuous cropping obstacles have become a problem that needs to be solved. The use of vertical rotary tillage technology and soil disinfection technology is an effective solution. In this paper, a vertical rotary soil-tilling variable disinfection combine was developed and an on-board control system with STM32 as the control core was designed to realize the real-time acquisition of powder monopoly torque information and the variable application of soil disinfection chemicals. Based on the obtained experimental soil parameters, a discrete element soil particle model was established, and orthogonal experiments were conducted to analyze the single-blade roller tillage process, and the optimal operating parameters were finally selected as 500 mm powder monopoly depth, 320 r/min knife roller speed, and 0.26 m/s forward speed, respectively. The field experiment found that the average tillage depth of the implement was 489 mm, the stability coefficient of tillage depth was 94.50%, the uniformity coefficient of soil disinfection was 85.57%, and the applied amount and the speed ratio coefficient of the given flow were linearly related, respectively. This research provides a technical reference for the deep tillage and soil disinfection of the powder monopoly. Full article
(This article belongs to the Special Issue Smart Machinery and Control System for Precision Agriculture)
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15 pages, 3007 KiB  
Article
A Personalized and Smart Flowerpot Enabled by 3D Printing and Cloud Technology for Ornamental Horticulture
by Yecheng Li, Jiaxing Luo, Zixuan Liu, Daosheng Wu and Cheng Zhang
Sensors 2023, 23(13), 6116; https://doi.org/10.3390/s23136116 - 3 Jul 2023
Viewed by 1694
Abstract
This paper presents a personalized and smart flowerpot for ornamental horticulture, integrating 3D printing and cloud technology to address existing design limitations and enable real-time monitoring of environmental parameters in plant cultivation. While 3D printing and cloud technology have seen widespread adoption across [...] Read more.
This paper presents a personalized and smart flowerpot for ornamental horticulture, integrating 3D printing and cloud technology to address existing design limitations and enable real-time monitoring of environmental parameters in plant cultivation. While 3D printing and cloud technology have seen widespread adoption across industries, their combined application in agriculture, particularly in ornamental horticulture, remains relatively unexplored. To bridge this gap, we developed a flowerpot that maximizes space utilization, simplicity, personalization, and aesthetic appeal. The shell was fabricated using fused deposition modeling (FDM) in 3D printing, and an Arduino-based control framework with sensors was implemented to monitor critical growth factors such as soil moisture, temperature, humidity, and light intensity. Real-time data are transmitted to the Bamfa Cloud through Wi-Fi, and a mobile application provides users with instant access to data and control over watering and lighting adjustments. Our results demonstrate the effectiveness of the smart flowerpot in enabling automated monitoring of plant growth and environmental control. This innovation holds significant promise for advancing smart device development in ornamental horticulture and other related fields, enhancing efficiency, plant health, and overall user experience. Future research in this area has the potential to revolutionize horticultural practices and contribute to the advancement of smart agriculture. Full article
(This article belongs to the Special Issue Smart Machinery and Control System for Precision Agriculture)
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