Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/114365
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Type: Journal article
Title: A review of recent sensing technologies to detect invertebrates on crops
Author: Liu, H.
Lee, S.-H.
Chahl, J.S.
Citation: Precision Agriculture, 2017; 18(4):635-666
Publisher: Springer
Issue Date: 2017
ISSN: 1385-2256
1573-1618
Statement of
Responsibility: 
Huajian Liu, Sang-Heon Lee, Javaan Singh Chahl
Abstract: Precision agriculture needs integrated pest management (IPM), for which detection and identification of target invertebrate species is a prerequisite. Researchers have been developing various technologies to detect pests more efficiently and accurately. However, these existing sensing technologies still have limitations for effective infield applications. This review paper aims to explore the relative technologies and find a sensing method that has potential to detect and identify common invertebrates on crops, such as butterflies, locusts, snails and slugs. It was found that there are two main research branches for invertebrate detection and identification: acoustic sensing and machine vision system (MVS). Acoustic sensing is suitable for detecting and identifying pests in soil, stored grains and wood, while usually acoustic sensors need to be attached to samples for inspection, which causes difficulties for efficient infield applications. MVS has the potential to provide a more effective and flexible way to detect and identify invertebrates on crops. In recent work with MVS, the technologies of invertebrate identification have been intensively studied, however, infield detection is relatively weak. This review points out the current research gaps and then discusses the potential research directions.
Keywords: Invertebrate detection; insect identification; IPM; machine vision; acoustic sensing
Rights: © Springer Science+Business Media New York 2016
DOI: 10.1007/s11119-016-9473-6
Appears in Collections:Agriculture, Food and Wine publications
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