Research Progress and Development Trend of Visual Detection Methods for Selective Fruit Harvesting Robots Article Swipe
Wenbo Wang
,
Chenshuo Li
,
Yue Xi
,
Jinan Gu
,
Xinzhou Zhang
,
Man Zhou
,
Yu-Chun Peng
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy15081926
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy15081926
The rapid development of artificial intelligence technologies has promoted the emergence of Agriculture 4.0, where the machines participating in agricultural activities are made smart with the capacities of self-sensing, self-decision-making, and self-execution. As representative implementations of Agriculture 4.0, intelligent selective fruit harvesting robots demonstrate significant potential to alleviate labor-intensive demands in modern agriculture, where visual detection serves as the foundational component. However, the accurate detection of fruits remains a challenging issue due to the complex and unstructured nature of fruit orchards. This paper comprehensively reviews the recent progress in visual detection methods for selective fruit harvesting robots, covering cameras, traditional detection based on handcrafted feature methods, detection based on deep learning methods, and tree branch detection methods. Furthermore, the potential challenges and future trends of the visual detection system of selective fruit harvesting robots are critically discussed, facilitating a thorough comprehension of contemporary progress in this research area. The primary objective of this work is to highlight the pivotal role of visual perception in intelligent fruit harvesting robots.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/agronomy15081926
- OA Status
- gold
- Cited By
- 2
- References
- 184
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4413225258Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/agronomy15081926Digital Object Identifier
- Title
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Research Progress and Development Trend of Visual Detection Methods for Selective Fruit Harvesting RobotsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-10Full publication date if available
- Authors
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Wenbo Wang, Chenshuo Li, Yue Xi, Jinan Gu, Xinzhou Zhang, Man Zhou, Yu-Chun PengList of authors in order
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https://doi.org/10.3390/agronomy15081926Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.3390/agronomy15081926Direct OA link when available
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Computer science, Robot, Artificial intelligence, Implementation, Agriculture, Perception, Human–computer interaction, Software engineering, Geography, Psychology, Archaeology, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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