Vision-Based Behavior Strategy for Tomato Harvesting Robot (V)

Author(s):  
Takuya FUJINAGA ◽  
Kazuo ISHII
Author(s):  
Takuya FUJINAGA ◽  
Shinsuke YASUKAWA ◽  
Binghe Li ◽  
Kazuo ISHII

Author(s):  
Takuya FUJINAGA ◽  
Shinsuke YASUKAWA ◽  
Binghe LI ◽  
Kazuo ISHII

Author(s):  
Shinsuke YASUKAWA ◽  
Masaya NISHIO ◽  
Binghe LI ◽  
Kazuo ISHII

2016 ◽  
Vol 12 (12) ◽  
pp. 23 ◽  
Author(s):  
Biqing Li ◽  
Yongfa Ling ◽  
Hongyan Zhang ◽  
Shiyong Zheng

To improve the efficiency of harvesting cherry tomato and reduce its breakage rate, we design a harvesting robot base on image recognition and modular control. After image acquisition with IOT technology, the binary processing and expansion and corrosion processing of original image can effectively increase the fruit recognition rate. In addition, the use of fuzzy control technology processes the response error of manipulator. We test the performance of cherry tomato harvesting robot through harvesting experiment. The experimental results show that the harvesting efficiency significantly improves and the degree of crushing cherry tomato greatly reduces after using the cherry tomato harvesting robot.


2008 ◽  
Author(s):  
Naoshi Kondo ◽  
Kazuya Yamamoto ◽  
Koki Yata ◽  
Mitsutaka Kurita

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 17631-17640
Author(s):  
Jongpyo Jun ◽  
Jeongin Kim ◽  
Jaehwi Seol ◽  
Jeongeun Kim ◽  
Hyoung Il Son

Author(s):  
Nikolaos Kounalakis ◽  
Emmanouil Kalykakis ◽  
Manos Pettas ◽  
Alexandros Makris ◽  
Manolis M. Kavoussanos ◽  
...  
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