| 芦笋机械化收获技术现状与发展分析 |
| |
| 引用本文： | 陈度,ZHANG Qin,王书茂,王新.芦笋机械化收获技术现状与发展分析[J].中国农业大学学报,2016,21(4):113-120. |
| |
| 作者姓名： | 陈度 ZHANG Qin 王书茂 王新 |
| |
| 作者单位： | 中国农业大学现代农业装备优化设计北京市重点实验室, 北京 100083;Department of Biological Systems Engineering, IAREC-Washington State University, Prosser 99350, USA;中国农业大学现代农业装备优化设计北京市重点实验室, 北京 100083;中国农业大学现代农业装备优化设计北京市重点实验室, 北京 100083 |
| |
| 基金项目： | 国家自然科学基金项目(51305445);土壤植物机器系统技术国家重点实验室开放课题(2014-SKL-01) |
| |
| 摘 要： | 针对现有芦笋机械收获技术的特点,将现有芦笋收获机分为集中式和选择式2大类,分别对2种类型收获机的收获原理、作业特点和工作效率进行详细分析,并指出集中式和选择式收获机各自存在的关键问题。在分析芦笋田间生长形态的基础上指出,三维识别定位和机器人技术是最有可能成为解决芦笋高效收获的关键技术,将其应用于芦笋收获作业,并提高算法的实时识别效率,可以提高作物探测精度和分离收获效率,从而降低收获过程损失。通过与新型种植模式的集成,机器人收获技术必将解决芦笋机械化收获这一世界性难题。
|
| 关 键 词： | 芦笋 收获机械 选择式收获 三维识别 移动机器人 |
| 收稿时间： | 2015/4/23 0:00:00 |
Current status and future solutions for asparagus mechanical harvesting |
| |
| CHEN Du,ZHANG Qin,WANG Shu-mao and WANG Xin.Current status and future solutions for asparagus mechanical harvesting[J].Journal of China Agricultural University,2016,21(4):113-120. |
| |
| Authors: | CHEN Du ZHANG Qin WANG Shu-mao and WANG Xin |
| |
| Institution: | Beijing Key Laboratory of Optimal Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China;Department of Biological Systems Engineering, IAREC-Washington State University, Prosser 99350, USA;Beijing Key Laboratory of Optimal Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China;Beijing Key Laboratory of Optimal Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China |
| |
| Abstract: | None of asparagus harvester is commercially available due to lower yield and poorer product quality comparing with manual harvesting.In this paper, current techniques are divided into two groups:mass harvester and selective harvester.The current status of different harvesting system is described in the context of individual application.Three main issues contributing to low efficiency are spear detecting accuracy, spear damage during harvesting and spear collection effectiveness.To seek potential techniques to improve harvest efficiency, morphology analysis is provided based on obtained samples.Emphases of future solutions are placed on 3D recognition and positioning technology and robotic technologies that have been proven effective or have shown great potential.Integrated horticultural architecture with robotic system has the potential to benefit the asparagus production industry. |
| |
| Keywords: | asparagus mechanical harvester selective harvesting 3D recognition mobile robotic system |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《中国农业大学学报》浏览原始摘要信息 |
| 点击此处可从《中国农业大学学报》下载免费的PDF全文 |
|
