Open AccessCamellia Oleifera Harvester Based on Model Processing
Author(s) -
Di Kang,
Youhua Fan,
Zejun Chen,
Fang Ma,
Peng Shao-feng,
Yongwang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2066/1/012112
Subject(s) - camellia oleifera , camellia , key (lock) , vibration , computer science , artificial intelligence , engineering , horticulture , biology , acoustics , operating system , physics
Aiming at the problems of high leakage rate and high damage rate in mechanized picking of Camellia oleifera fruit, a branch shaking type picking machine was designed. According to the working principle of picking, the structure design of key components was completed, and the orthogonal test of three factors and three levels was designed. The results showed that the best combination of operating parameters was: picking time 45s, vibration frequency 8Hz, amplitude 5cm of picking head. The field test of Camellia oleifera fruit picking machine was carried out, and the picking rate was 91.2%, and the damage rate of flower bud was 18.2%.