Multi-robot Systems for Precision Agriculture

Ribeiro, Ángela; Conesa-Muñoz, Jesús

doi:10.1007/978-3-030-77036-5_7

Cited by 15 publications

(5 citation statements)

References 28 publications

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“…For example, Ribeiro et al presents a fleet of aerial vehicles and autonomous ground vehicles where the aerial vehicles complete the overhead inspection of a field to influence and optimise the autonomous ground vehicles to perform agricultural tasks. This results in a mutualistic interaction between the robotic teams as the aerial robot can identify and allocate tasks for the ground vehicles whilst maintaining an optimal flight path [99]. In addition, a robot may require a different tool for inspection where it may be more efficient for another robot to collect a tool and transport it to the robot that requires it.…”

Section: Discussionmentioning

confidence: 99%

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

Mitchell,

Emor Baniqued,

Zahid

et al. 2023

IET Cyber-Syst and Robotics

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Nuclear facilities have a regulatory requirement to measure radiation levels within Post Operational Clean Out (POCO) around nuclear facilities each year, resulting in a trend towards robotic deployments to gain an improved understanding during nuclear decommissioning phases. The UK Nuclear Decommissioning Authority supports the view that human‐in‐the‐loop (HITL) robotic deployments are a solution to improve procedures and reduce risks within radiation characterisation of nuclear sites. The authors present a novel implementation of a Cyber‐Physical System (CPS) deployed in an analogue nuclear environment, comprised of a multi‐robot (MR) team coordinated by a HITL operator through a digital twin interface. The development of the CPS created efficient partnerships across systems including robots, digital systems and human. This was presented as a multi‐staged mission within an inspection scenario for the heterogeneous Symbiotic Multi‐Robot Fleet (SMuRF). Symbiotic interactions were achieved across the SMuRF where robots utilised automated collaborative governance to work together, where a single robot would face challenges in full characterisation of radiation. Key contributions include the demonstration of symbiotic autonomy and query‐based learning of an autonomous mission supporting scalable autonomy and autonomy as a service. The coordination of the CPS was a success and displayed further challenges and improvements related to future MR fleets.

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Section: Discussionmentioning

confidence: 99%

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

Mitchell,

Emor Baniqued,

Zahid

et al. 2023

IET Cyber-Syst and Robotics

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“…Given their ability to easily cover large distances over the fields, aerial robots are widely utilized with respect to several agricultural tasks such as crop monitoring/mapping, pesticide/fertilizer spraying, seed sowing and growth assessment [21][22][23]. Combining the survey capabilities of UAVs with the targeted intervention ability of UGVs, multi-robot systems are gaining great attention as well [24][25][26]. Various works can be found in literature regarding the coordination of cooperative ground and aerial robots towards e.g.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Robotic Harvesting Systems and Enabling Technologies

Δρούκας

Doulgeri

Tsakiridis

et al. 2023

J Intell Robot Syst

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This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span research and commercial products and results, as well as their enabling technologies. The majority of literature concerns the development of crop detection, field navigation via vision and their related challenges. Health monitoring, yield estimation, water status inspection, seed planting and weed removal are frequently encountered tasks. Regarding robotic harvesting, apples, strawberries, tomatoes and sweet peppers are mainly the crops considered in publications, research projects and commercial products. The reported harvesting agricultural robotic solutions, typically consist of a mobile platform, a single robotic arm/manipulator and various navigation/vision systems. This paper reviews reported development of specific functionalities and hardware, typically required by an operating agricultural robot harvester; they include (a) vision systems, (b) motion planning/navigation methodologies (for the robotic platform and/or arm), (c) Human-Robot-Interaction (HRI) strategies with 3D visualization, (d) system operation planning & grasping strategies and (e) robotic end-effector/gripper design. Clearly, automated agriculture and specifically autonomous harvesting via robotic systems is a research area that remains wide open, offering several challenges where new contributions can be made.

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“…Precision agriculture has evolved to enhance crop quality and shorten production times. Additionally, implementing new technologies in the agricultural sector is essential for optimizing natural, economic, and industrial resource management [2].…”

mentioning

confidence: 99%

“…One project related to this theme is the RHEA project developed by Angela R., which involves a multi-robot system performing ground and aerial movements to collect crop information. The gathered data is transmitted to a control center through a wireless sensor network using communication protocols such as MQTT and HTTP, along with the Internet of Things (IoT) [2]- [3]. Creating a database is crucial for making informed decisions through analysis and interpretation, aiming to increase the quantity and quality of crop production [4].…”

mentioning

confidence: 99%

Sustainability of precision agriculture as a proposal for the development of autonomous crops using IoT

Catota,

Minaya,

Acurio

et al. 2024

IJEER

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Agricultural activities have experienced a significant increase due to population growth; hence, the demand for food has risen to the point where prioritizing greater efficiency and quality in crop production within a short period is crucial. This paper addresses the contemporary need to design prototypes focused on optimizing natural resources, specifically in the agricultural sector, where recurring wastage of water, fertilizers, and pesticides is evident. This research proposes a comprehensive prototype incorporating a monitoring and control system managed through the IoT Arduino Cloud platform using an ESP32 development board to improve resource management from the initial germination stages to harvest. The planting phase is based on a 3D printer mechanism with three-dimensional movements controlled. The monitoring system includes real-time visualization of variables such as temperature, soil humidity, and electrical magnitudes, as well as the automation of the irrigation and fertilization system. In this regard, the results demonstrated efficient resource management in cultivation. Additionally, the photovoltaic system contributes to a more sustainable and efficient management approach.

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Multi-robot Systems for Precision Agriculture

Cited by 15 publications

References 28 publications

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

A Survey of Robotic Harvesting Systems and Enabling Technologies

Sustainability of precision agriculture as a proposal for the development of autonomous crops using IoT

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