Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination

Weng, Liguo; Liu, Qingshan; Xia, Min; Song, Yanhong

doi:10.1016/j.neucom.2012.06.053

Cited by 40 publications

(21 citation statements)

References 12 publications

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“…Swarm robotics is a powerful tecnology since it allows high-scale creation of colective robotic entities (Tan and Zheng, 2013;Weng et al, 2014). This makes swarm robotics an attractive option for automated crops inspection.…”

Section: Introductionmentioning

confidence: 99%

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Carbone

Garibaldi

Kurt

2018

KEG

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This paper summarizes the concept of swarm robotics and its applicability to crop inspections. To increase the agricultural yield it is essential to monitor the crop health.Hence, precision agriculture is becoming a common practice for farmers providing a system that can inspect the state of the plants ( Khosla and others, 2010). One of the rising technologies used for agricultural inspections is the use of unmaned air vehicles (UAVs) which are used to take aerial pictures of the farms so that the images could be processed to extract data about the state of the crops (Das et al., 2015). For this process both fixed wings and quadrotors UAVs are used with a preference over the quadrotor since it's easier to operate and has a milder learning curve compared to fixed wings (Kolodny, 2017). UAVs require battery replacement especially when the environmental conditions result in longer inspection times ("Agriculture -Maximize Yields with Aerial Imaging," n.d., "Matrice 100 -DJI Wiki," n.d.). As a result, inspection systems for crops using commercial quadrotors are limited by the quadrotor´s maximum flight speed, maximum flight height, quadrotor´s battery time, crops area, wind conditions, etc.("Mission Estimates," n.d.).

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Section: Introductionmentioning

confidence: 99%

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Carbone

Garibaldi

Kurt

2018

KEG

View full text Add to dashboard Cite

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“…Here, we find also some notable similarities with the work of Weng et al [40], although this approach limits the UAV operations to a pre-determined perimeter, unlike our work, where the UAVs in Patrol mode (and in the Leader role) may exhibit any movement pattern.…”

Section: Perimeter Patrol Algorithmsupporting

confidence: 71%

“…Unfortunately, in their work [40], the authors do not explain how the UAVs obtain their location. However, a UAV is capable of sharing its position with others, in order to request assistence.…”

Section: Human Immune System-based Algorithmmentioning

confidence: 99%

“…Weng et al designed and implemented a distributed algorithm [40] inspired on the human immune system [41], which bears some similarities to the surveillance scenario envisaged in the present work. Their model bases on fixed-wing UAVs, locally processing their tasks and a fully distributed ad hoc coordination paradigm.…”

Section: Human Immune System-based Algorithmmentioning

confidence: 99%

“…In their approach, all UAVs can assume the role of V1, i.e., any UAV that detects an intruder starts chasing it and sends messages to nearby UAVs. To avoid having all UAVs chasing a single intruder, and in order to have other, available UAVs to patrol the perimeter, Weng et al devised a technique (based on the human immune system) that uses a predetermined threshold to limit the number of UAVs deployed in a single task [40].…”

Section: Human Immune System-based Algorithmmentioning

confidence: 99%

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