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Ground and Aerial Robots in Smart Agriculture

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

Deadline for manuscript submissions: closed (21 September 2022) | Viewed by 2189

Special Issue Editors


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Guest Editor
Department of Biological Systems Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA
Interests: impact of autonomy on agricultural machine forms; application of sensors to predict chemical and physical properties of agricultural materials; fractional utilization of herbaceous biomass

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Guest Editor
Advanced Machinery Systems Department of Biological Systems Engineering, Institute of Agriculture and Natural Resources, College of Engineering, University of Nebraska–Lincoln, 207 L. W. Chase Hall, Lincoln, NE 68583-0726, USA
Interests: agricultural robotics; embedded systems; control systems; machine learning; precision agriculture; machine design; sensor development

Special Issue Information

Dear Colleagues,

Current agricultural practices use highly automated machinery and precision agriculture techniques to match the increasing demand for food and agricultural products.  In addition to meeting this increased agricultural product demand, smart agricultural methods are required to maintain profitability while reducing negative impacts on the environment. Ground and aerial robots are important precision agriculture technology tools that provide the opportunity to increase agricultural productivity and manage resources intelligently to support holistic and sustainable agricultural practices. Many advancements have been made over the decades in the field of robotics, autonomy, and sensing. This Special Issue explores both fundamental and applied research on the topic of ground and aerial robots used in crop, animal, and natural resource management systems. Manuscripts are invited on the following topics but are not limited to:

  • Grounds robots in greenhouse and field production systems
  • Ground and aerial robots for animal management
  • Ground and aerial robots for natural resource management
  • Human robot interaction
  • Security considerations of ground and aerial robots
  • Cooperative robots
  • Perception and sensing for autonomy

Dr. Matthew Digman
Dr. Santosh Pitla
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. 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

  • grounds robots in greenhouse and field production systems
  • ground and aerial robots for animal management
  • ground and aerial robots for natural resource management
  • human robot interaction
  • security considerations of ground and aerial robots
  • cooperative robots
  • perception and sensing for autonomy

Published Papers (1 paper)

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Research

14 pages, 32738 KiB  
Article
Design of a Reconfigurable Crop Scouting Vehicle for Row Crop Navigation: A Proof-of-Concept Study
by Austin Schmitz, Chetan Badgujar, Hasib Mansur, Daniel Flippo, Brian McCornack and Ajay Sharda
Sensors 2022, 22(16), 6203; https://doi.org/10.3390/s22166203 - 18 Aug 2022
Cited by 3 | Viewed by 1715
Abstract
Pest infestation causes significant crop damage during crop production, which reduces the crop yield in terms of quality and quantity. Accurate, precise, and timely information on pest infestation is a crucial aspect of integrated pest management practices. The current manual scouting methods are [...] Read more.
Pest infestation causes significant crop damage during crop production, which reduces the crop yield in terms of quality and quantity. Accurate, precise, and timely information on pest infestation is a crucial aspect of integrated pest management practices. The current manual scouting methods are time-consuming and laborious, particularly for large fields. Therefore, a fleet of scouting vehicles is proposed to monitor and collect crop information at the sub-canopy level. These vehicles would traverse large fields and collect real-time information on pest type, concentration, and infestation level. In addition to this, the developed vehicle platform would assist in collecting information on soil moisture, nutrient deficiency, and disease severity during crop growth stages. This study established a proof-of-concept of a crop scouting vehicle that can navigate through the row crops. A reconfigurable ground vehicle (RGV) was designed and fabricated. The developed prototype was tested in the laboratory and an actual field environment. Moreover, the concept of corn row detection was established by utilizing an array of low-cost ultrasonic sensors. The RGV was successful in navigating through the corn field. The RGV’s reconfigurable characteristic provides the ability to move anywhere in the field without damaging the crops. This research shows the promise of using reconfigurable robots for row crop navigation for crop scouting and monitoring which could be modular and scalable, and can be mass-produced in quick time. A fleet of these RGVs would empower the farmers to make meaningful and timely decisions for their cropping system. Full article
(This article belongs to the Special Issue Ground and Aerial Robots in Smart Agriculture)
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