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猕猴桃作业机器人研究进展及全程智能化生产展望

贺磊磊 辜煜 夏满 李瑞 ZHANG Qin 傅隆生

农业工程学报2025,Vol.41Issue(17):1-14,14.
农业工程学报2025,Vol.41Issue(17):1-14,14.DOI:10.11975/j.issn.1002-6819.202504018

猕猴桃作业机器人研究进展及全程智能化生产展望

Research progress of the kiwifruit operation robots and prospects for fully intelligent production

贺磊磊 1辜煜 1夏满 1李瑞 1ZHANG Qin 2傅隆生3

作者信息

  • 1. 西北农林科技大学机械与电子工程学院,杨凌 712100
  • 2. 华盛顿州立大学精细农业及农业自动化研究中心,华盛顿99350
  • 3. 西北农林科技大学机械与电子工程学院,杨凌 712100||农业农村部农业物联网重点实验室,杨凌 712100
  • 折叠

摘要

Abstract

Kiwifruit is recognized as a favorite fruit crop in China,due to the significant economic and nutritional value.However,the large-scale production has still remained largely on the manual labor,particularly in the key operations,such as the pollination,pruning,thinning,and harvesting.Efficiency and quality are often required in its rapid industrial expansion in recent years,due to the highly labor-intensive and time-sensitive.It is a pressing need for the labor-saving,precise,and reliable alternatives in industry,with the increasing cost of seasonal labor.Among them,the agricultural robots have received growing attention in kiwifruit production.As a representative direction of smart agriculture,the agricultural robots can typically integrate the machine vision,intelligent decision-making,and automated execution.The broad application prospects can also improve the precision for the standardized management of the orchards throughout the year.Multi-degree-of-freedom manipulators,and environment-aware perception modules can also suitable for the complex environment of field orchard.This study aims to systematically review the recent technologies in the kiwifruit robots,particularly on their system structures,perception strategies,motion planning,and end-effector designs.The robot enabling technology was also examined to clarify the current research landscape and development bottlenecks in intelligent horticulture.Special emphasis was placed on the robotic applications during pollination and harvesting.The system performance was evaluated to fully meet the short operation windows and high accuracy requirements.Meanwhile,the intelligent robotic equipment was integrated into the broader context of fully intelligent kiwifruit production(such as bud and young fruit thing,as well as branch pruning).The entire production cycle was involved the sensing,decision-making,execution,and feedback.The selective operation techniques were further enhanced the production efficiency.The targeted interventions were employed to manage only the necessary fruits,flowers,or buds.This selective process was optimized the resource use for the overall productivity without excessive input.Furthermore,a comprehensive framework was also proposed to adapt the intelligent technologies in real-world orchards,including the spatial compatibility between robotic equipment and orchard infrastructure,biological coordination with the phenological development of crops,and the modularity in equipment design to accommodate diverse operational scenarios.The need was highlighted to coordinate the planning in orchard,the standardization in cultivation practices,and equipment innovation.An integrated production was fully met the demands of modern fruit farming.Representative case studies and experimental results were presented to assess the feasibility,efficiency,and practical challenges after robotic deployment in kiwifruit production.Strategic guidance can also provide for the future innovation,standardization,and industrial application,ultimately supporting the transition toward a fully automated,efficient,and sustainable kiwifruit production.

关键词

猕猴桃/智能化/标准化/农业机器人/人工智能

Key words

kiwifruit/intelligentization/standardization/agricultural robots/artificial intelligence

分类

农业科技

引用本文复制引用

贺磊磊,辜煜,夏满,李瑞,ZHANG Qin,傅隆生..猕猴桃作业机器人研究进展及全程智能化生产展望[J].农业工程学报,2025,41(17):1-14,14.

基金项目

国家自然科学基金项目(32371999) (32371999)

陕西省重点研发计划项目(2024PT-ZCK-27,2024NC-YBXM-195,2023JBGS-21) (2024PT-ZCK-27,2024NC-YBXM-195,2023JBGS-21)

人力资源和社会保障部外国专家局项目(H20240238) (H20240238)

西安市科技计划项目(23NYGG0071,24NYGG0035) (23NYGG0071,24NYGG0035)

农业工程学报

OA北大核心

1002-6819

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