A Multi-UAV Task Allocation Algorithm Combatting Red Palm Weevil Infestation

Al-Megren, Shiroq; Kurdi, Heba; Aldaood, Munirah F.

doi:10.1016/j.procs.2018.10.153

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…The experimental results demonstrated the superiority of UTARB over the benchmark algorithms, where it yielded a significant increase in the percentage of detected infestation at reduced runtimes. This paper extends on previous work [40] that highlight the development of UTRAB to further signify its efficiency.…”

Section: Introductionsupporting

confidence: 72%

Adaptive task allocation for multi-UAV systems based on bacteria foraging behaviour

Kurdi

Aldaood

Al-Megren

et al. 2019

Applied Soft Computing

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Section: Introductionsupporting

confidence: 72%

Adaptive task allocation for multi-UAV systems based on bacteria foraging behaviour

Kurdi

Aldaood

Al-Megren

et al. 2019

Applied Soft Computing

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“…UAVs used as aerial base stations enhance WSN capacity, coverage, and energy efficiency [33]. Multi-UAVs used for pest detection in large farms have tested several intelligent algorithms [34]. New data gathering algorithms [35,36] have been proposed to save data from soil ports in UAVs.…”

Section: Introductionmentioning

confidence: 99%

Mango Fruit Fly Trap Detection Using Different Wireless Communications

Hahn,

Valle,

Rendón

et al. 2023

Agronomy

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Fruit flies cause production losses in mango orchards affecting fruit quality. A National Campaign against Fruit Flies (NCFF) evaluates farm status using the fruit flies per trap per day index (FTD). Traps with attractant are installed manually within orchards in Mexico, but counting the flies trapped every week requires excessive numbers of trained personal. Electronic traps (e-traps) use sensors to monitor fruit fly population, saving labor and obtaining the real-time orchard infestation. The objective of this work was to acquire an image within a e-trap at 17:00 when an insect was detected and binarize the information in real-time to count the number of flies. Each e-trap was implemented with a polyethylene PET bottle screwed to a tap containing an ESP32-CAM camera. E-traps from several hectares of mango trees were sampled and transmitted through WSN wireless sensor networks. This original system presents a star topology network within each hectare with the long range LoRa transceiver at the central tower. It receives the fly count from five e-traps and finally transmits data to the house tower end point. Another contribution of this research was the use of a DJI mini2 for acquiring the e-trap data, and the 8-ha flight took 15 min and 35 s. This period can be reduced if the drone flies higher.

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“…Different methodologies for RPW pest control and management have been developed, including but not limited to the use of physical principles of X-ray radiation [6], microwave thermal heating [7][8][9], acoustic waves and applications of signal processing [10][11][12], use of infrared thermal imaging [13,14], remote sensing imagery analysis [15,16], and the internet of things for continuous monitoring of palm trees [17]. The use of x-ray and gamma-radiation was applied in [6] in a controlled laboratory environment.…”

Section: Introductionmentioning

confidence: 99%

Numerical Assessment of Red Palm Weevil Detection Mechanism in Palm Trees Using CSRR Microwave Sensors

Bait-Suwailam¹

2021

PIER Letters

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In this paper, a numerical electromagnetic model of a low-cost detection modality for red palm weevil pests in palm trees using resonant-based microwave sensors is presented. The developed sensor is based on the complementary split-ring resonator concept. The complementary resonator is easily modelled using printed circuit board technology, where the transmission response from two ports at ends of 50 Ω-matched transmission line is recorded. The microwave sensor has been designed to work at the 2.45 GHz ISM-band and is placed underneath a finite size 3D model of a palm tree trunk infested with the red palm weevil pest. For comparison purposes, the numerical simulation results are compared against a reference case of a healthy palm trunk. The results show the capability of the proposed numerical electromagnetic model in detecting presence of the red palm weevil in palm trees.

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A Multi-UAV Task Allocation Algorithm Combatting Red Palm Weevil Infestation

Cited by 10 publications

References 19 publications

Adaptive task allocation for multi-UAV systems based on bacteria foraging behaviour

Adaptive task allocation for multi-UAV systems based on bacteria foraging behaviour

Mango Fruit Fly Trap Detection Using Different Wireless Communications

Numerical Assessment of Red Palm Weevil Detection Mechanism in Palm Trees Using CSRR Microwave Sensors

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