Towards Automated Strawberry Harvesting: Identifying the Picking Point

With the decline of rural populations across the globe, much hope is vested in the use of robots in agriculture as a means to sustain food production. This is particularly relevant for high-value crops, such as strawberries, where harvesting is currently very labour-intensive. As part of a larger pr...

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Bibliographic Details
Published inLecture notes in computer science pp. 222 - 236
Main Authors Huang, Zhuoling, Wane, Sam, Parsons, Simon
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 01.01.2017
SeriesLecture Notes in Computer Science
Subjects
Agricultural automation
Computer vision
Harvesting
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ISBN3319641069
9783319641065
ISSN0302-9743
1611-3349
1611-3349
DOI10.1007/978-3-319-64107-2_18

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Summary:With the decline of rural populations across the globe, much hope is vested in the use of robots in agriculture as a means to sustain food production. This is particularly relevant for high-value crops, such as strawberries, where harvesting is currently very labour-intensive. As part of a larger project to build a robot that is capable of harvesting strawberries, we have studied the identification of the picking point of strawberries—the point that a robot hand should grasp the strawberry—from images of strawberries. We present a novel approach to identify the picking point and evaluate this approach.
ISBN:3319641069
9783319641065
ISSN:0302-9743
1611-3349
1611-3349
DOI:10.1007/978-3-319-64107-2_18