Study on Strawberry Sorting System with Precooling Function

具有预冷功能的草莓分选系统的研究

• 批准号: 08456129
• 负责人: NAGATA Masateru
• 金额: $ 4.93万
• 依托单位: Miyazaki University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08456129/
• 关键词: strawberry; Sorting Machine; image proceing; neural network; automatic; mechanizating; post-harvesting; 自動選別

Production of fresh strawberry in greenhouses is very high earnings. After harvesting, strawberry is sorted into three grades based on shape and five grades based on size. This process is tedious and takes long working hours. Moreover, given its soft and sensitive/delicate surface, a slight pressure rendered from sorting, in addition to harvesting could cause damages to the fruit, lowering its commercial value. Hence, amechanized system of sorting is deemed necessary.This research the advances on the development of strawberry sorting system. Machine vision technique based on image processing techology and multiple-valued neural network theory (MVNN) were utilized in the design of the system and the controlling computer software.1.Study on strawberry sorting system(1)Development of sorting mechanismThis prototype consists of the feeding conveying, image processing, judging, and separating units. The circular pans are fed to the conveyor belt from a hollow cylinder located at the extreme … More end. When the strawberry comes just below the CCD camera, the program gets actuated to judge its shape. The separation of judged strawberries is camied out by the air cylinders, moving across the belt. The strawberries are separated into A,B and C channels within width of the belt.(2)Development of software for grade judging of strawberryComputer software based on the multiple-valued neural network. The sorting system must be able to recognize a strawberry when it "sees" one and must decide what grade or class the fruit should belong based on its shape and size. This is essentially the function which the judging component has to accomplish by employing an appropriate computer software. Percent accuracy ranges from 83 to 95%, very close to human judging ability.2.Study on precooling system for keeping qualityQuality of strawberry after harvesting and sorting could kept by precooling of 1ﾟC and controlling of CO_2 It was recognized a hardness of strawberry surface increased by precooling system with CO_2.This system was useful for decreasing a damage of strawberry fruits. Less

在温室中生产新鲜草莓是非常高的收益。收获后，草莓根据形状分为三级，根据大小分为五级。这个过程是繁琐的，需要很长的工作时间。此外，由于其柔软和敏感/精致的表面，除了收获之外，分拣所产生的轻微压力可能会对水果造成损害，降低其商业价值。因此，需要一种机械化的草莓分选系统。在系统设计和计算机控制软件设计中，采用了基于图像处理技术的机器视觉技术和多值神经网络理论（MVNN）。1.草莓分选系统的研究（1）分选机构的研制本样机由送料输送、图像处理、判断、分选等部分组成。圆盘从位于末端的中空圆柱体被输送到传送带 ...更多信息 端当草莓刚好到达CCD相机下方时，程序启动以判断其形状。经过判断的草莓的分离是由气缸在传送带上移动完成的。草莓在传送带的宽度范围内被分成A、B和C通道。（2）草莓等级评定软件的开发基于多值神经网络的草莓等级评定软件。分拣系统必须能够在“看到”草莓时识别草莓，并且必须根据其形状和大小决定水果应该属于哪个等级或类别。这基本上是判断部件必须通过采用适当的计算机软件来完成的功能。2.草莓采后预冷保鲜系统的研究1 ℃预冷和CO_2控制可有效地保持草莓采后品质，并可提高草莓表面硬度，有利于减少草莓果实的损伤。少

项目成果

NAGATA, M.: "Basic Stydy on Strawberry Sorting system in Japan" Proceedings of the 1997 ASAE Anual International Meeting. 973095 (1997)

NAGATA, M.：“日本草莓分选系统的基本研究”1997 年 ASAE 国际年会记录。

永田雅輝他: "イチゴの選別システムに関する研究-ベルト式による選別機構の開発-" 第56回農業機械学会年次大会講演要旨. 17-18 (1997)

Masaki Nagata等：“草莓分选系统的研究-带式分选机构的开发-”第56届日本农业机械学会年会摘要17-18（1997）。

曹其新・永田雅輝他: "マシンビジョンによる果菜の等級判定に関する研究(第2報)" 植物工場学会誌. 8巻4号. 228-236 (1996)

曹启新，Masaki Nagata，等：“利用机器视觉进行水果和蔬菜分级的研究（第二次报告）”植物工厂学会杂志，第8卷，第4期。228-236（1996）。

Cao, Q., Nagata.M., et.al.: "An Approach to Profile Pattern Judgment of Strawberry Imege by Using Neurai Network" Journal of Kyushu Branch of the Japanese society of Agricultural Machinery. Vol.45. 26-30 (1996)

曹Q.，Nagata.M.，等：“利用神经网络进行草莓图像轮廓图案判断的方法”，日本农业机械学会九州分会学报。

M.Nagata et.al: "Basic Stydy on Strawberry Sorting system in Japan" Proceedings of ASAE,. (Paper No.973095). (1997)

M.Nagata 等人：“日本草莓分选系统的基本研究”ASAE 论文集，。