Cucumber picking robots: Technological progress, challenges, and future directions

Cucumber is a popular fruit, and its harvest is labor-intensive. Increasing labor costs and a shrinking labor pool have motivated the development of robotic picking. This article conducts a comprehensive study of cucumber picking robots (CPRs) in greenhouses, evaluating technological advancements and future trends. The unique morphology of cucumbers, which differs from other fruits, requires a specialized end-effector to handle their elongated shape and delicate skin without causing injury. Despite rapid progress in agricultural robotics, inefficiency in robust cucumber recognition, especially when leaves have the same color, has restricted the large-scale deployment of picking robots. Recent breakthroughs in vision-based control, optimized vision acquisition, improved cucumber recognition algorithms, and effective eye-hand coordination offer promising solutions to these limitations. This study provides a detailed overview of five research areas related to CPRs: historical evolution, vision control guiding, detection mechanisms and identification, cucumber-adaptive end effectors, and motion paths. It also discusses the challenges involved in implementing these techniques. The review offers a concise overview that benefits stakeholders and accelerates the development of commercially viable CPRs.

Authors

Publication Details

Journal
Smart Agricultural Technology
Published
2026-01-19
DOI
https://doi.org/10.1016/j.atech.2026.101813
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
62.68
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article

Cucumber picking robots: Technological progress, challenges, and future directions

Weihao Huo, Mustafa Mhamed, Yingkun Zhang, Cunming Hao et al.
2 citations
Smart Agricultural Technology
Smart Agriculture and AI
62.68
article

Cucumber picking robots: Technological progress, challenges, and future directions

Weihao Huo, Mustafa Mhamed, Yingkun Zhang, Cunming Hao, Shahram Hamza Manzoor, Rashed Ahmed, Neili Machado Garcia, Zhao Zhang, Mahmoud A. Abdelhamid, Noor Gul, Ruixuan Sun, Arshed Ahmed
article en
2 citations

Abstract

Cucumber is a popular fruit, and its harvest is labor-intensive. Increasing labor costs and a shrinking labor pool have motivated the development of robotic picking. This article conducts a comprehensive study of cucumber picking robots (CPRs) in greenhouses, evaluating technological advancements and future trends. The unique morphology of cucumbers, which differs from other fruits, requires a specialized end-effector to handle their elongated shape and delicate skin without causing injury. Despite rapid progress in agricultural robotics, inefficiency in robust cucumber recognition, especially when leaves have the same color, has restricted the large-scale deployment of picking robots. Recent breakthroughs in vision-based control, optimized vision acquisition, improved cucumber recognition algorithms, and effective eye-hand coordination offer promising solutions to these limitations. This study provides a detailed overview of five research areas related to CPRs: historical evolution, vision control guiding, detection mechanisms and identification, cucumber-adaptive end effectors, and motion paths. It also discusses the challenges involved in implementing these techniques. The review offers a concise overview that benefits stakeholders and accelerates the development of commercially viable CPRs.

Smart Agricultural TechnologyVol. 13
Decent work and economic growth
Openalex Percentile: Top 0%
Smart Agriculture and AI
62.68
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Cucumber picking robots: Technological progress, challenges, and future directions — Weihao Huo, Mustafa Mhamed, et al. · Smart Agricultural Technology (2026) | TGRS Research Map | TGRS