Mallard Detection using Microphone Array and Delay-and-Sum Beamforming

Hashimoto, Masumi; Madokoro, Hirokazu; Watanabe, Kanji; Nishiguchi, Masayuki; Yamamoto, Satoshi; Woo, Hanwool; Sato, Kazuhito

doi:10.23919/iccas47443.2019.8971736

Cited by 1 publication

(1 citation statement)

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“…Based on the underlying method used in drone detection [96] and our originally developed single-sensor platform [97], this paper presents a novel sensing system and shows experimentally obtained results obtained from outdoor experiments. Assuming θ 1 and θ 2 as the angles between the lines perpendicular to p x and p y and the straight line to (x, y), and letting L 1 and L 2 represent the straight distances between the respective microphone array systems and (x, y), then using trigonometric functions, p x and p y are given as presented below [98].…”

Section: Related Studiesmentioning

confidence: 99%

Mallard Detection Using Microphone Arrays Combined with Delay-and-Sum Beamforming for Smart and Remote Rice–Duck Farming

et al. 2021

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This paper presents an estimation method for a sound source of pre-recorded mallard calls from acoustic information using two microphone arrays combined with delay-and-sum beamforming. Rice farming using mallards saves labor because mallards work instead of farmers. Nevertheless, the number of mallards declines when they are preyed upon by natural enemies such as crows, kites, and weasels. We consider that efficient management can be achieved by locating and identifying the locations of mallards and their natural enemies using acoustic information that can be widely sensed in a paddy field. For this study, we developed a prototype system that comprises two sets of microphone arrays. We used 64 microphones in all installed on our originally designed and assembled sensor mounts. We obtained three acoustic datasets in an outdoor environment for our benchmark evaluation. The experimentally obtained results demonstrated that the proposed system provides adequate accuracy for application to rice–duck farming.

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Section: Related Studiesmentioning

confidence: 99%