Results 1 to 10 of about 38,122 (208)

Research status and prospect of mechanized hulling device for Camellia oleifera fruit

Shipin yu jixie, 2023
The traditional hulling of Camellia oleifera fruit is mainly manual, with high work intensity, high labor cost and low production efficiency. Mechanized hulling is the inevitable trend of modernization of Camellia oleifera industry.
WU Junyi, WANG Yi, XIONG Pingyuan, RUAN Jieying, LIAO Zhiqiang   +4 more
doaj   +2 more sources

Quantitative Analysis of Camellia oleifera Seed Saponins and Aqueous Two-Phase Extraction and Separation

Molecules, 2023
At present, the technology used for the extraction and purification of Camellia oleifera saponins generally has the problems of high cost and low purity, and the quantitative detection of Camellia oleifera saponins also has the problems of low ...
Lifang Zhu, Shanshan Wang, Faling Wan, Yihong Zhou, Zongde Wang, Guorong Fan, Peng Wang, Hai Luo, Shengliang Liao, Lu He, Yuling Yang, Xiang Li, Xiuxiu Zou, Shangxing Chen, Ji Zhang   +14 more
doaj   +2 more sources

Determination of Vibration Picking Parameters of Camellia oleifera Fruit Based on Acceleration and Strain Response of Branches

Agriculture, 2022
This study examines the means of reducing the damage to the branches of Camellia oleifera in the process of vibration picking and solving the problems of low equipment-development efficiency and slow product renewal caused by using traditional test ...
Delin Wu, Enlong Zhao, Dong Fang, Shan Jiang, Cheng Wu, Weiwei Wang, Rongyan Wang   +6 more
doaj   +2 more sources

Design and Research of a Harvesting Actuator for Camellia oleifera Flowers during the Budding Period

Agriculture, 2022
The collection of Camellia oleifera flowers is a key foundation of Camellia oleifera flower pollen extraction. Due to the current problems of low efficiency, high labor intensity and the high cost of manual collection of Camellia oleifera flowers, a ...
Zechao Wu, Lijun Li, Qing Zhao, Xin Guo, Jun Li   +4 more
doaj   +2 more sources

Investigating the Identification and Spatial Distribution Characteristics of Camellia oleifera Plantations Using High-Resolution Imagery

Remote Sensing, 2023
Camellia oleifera is a vital economic crop of southern China. Accurate mapping and monitoring of Camellia oleifera plantations are essential for promoting sustainable operations within the Camellia oleifera industry.
Yajing Li, Enping Yan, Jiawei Jiang, Dan Cao, Dengkui Mo   +4 more
doaj   +2 more sources

Maturity Grading and Identification of Camellia oleifera Fruit Based on Unsupervised Image Clustering

Foods, 2022
Maturity grading and identification of Camellia oleifera are prerequisites to determining proper harvest maturity windows and safeguarding the yield and quality of Camellia oil.
Xueyan Zhu, Deyu Shen, Ruipeng Wang, Yili Zheng, Shuchai Su, Fengjun Chen   +5 more
doaj   +2 more sources

Genome-wide analysis of AP2/ERF gene family in Camellia oleifera and its potential roles in ethylene-induced fruit abscission [PDF]

BMC Plant Biology
Background Camellia oleifera is a commercially important woody edible oil tree species in China. Yet, heavy premature fruit drop causes substantial yield losses and significantly limits the economic potential of the oil tea industry.
Junwen Yi, Yuqiao Su, Jing He, Jing Wang, Huicong Wang, Yingzhong Zhang   +5 more
doaj   +2 more sources

YOLO-CFruit: A Robust Object Detection Method for Camellia oleifera Fruit in Complex Environments

Frontiers in Plant Science
IntroductionIn the field of agriculture, automated harvesting of Camellia oleifera fruit has become an important research area. However, accurately detecting Camellia oleifera fruit in a natural environment is a challenging task.
Haifei Chen, Yuanyin Luo, Kai Liao
exaly   +3 more sources

Research on anthracnose grade of Camellia oleifera based on the combined LIBS and THz technology

Plant Methods, 2022
Background Anthracnose of Camellia oleifera is a very destructive disease that commonly occurs in the Camellia oleifera industry, which severely restricts the development of the Camellia oleifera industry.
Li Bin, Wang Qiu, Zhan Chao-hui, Han Zhao-yang, Yin Hai, Liao Jun, Liu Yan-de   +6 more
doaj   +1 more source

Detection Method of Damaged Camellia Oleifera Seeds Based on YOLOv5-CB

IEEE Access, 2022
To solve the problems that the existing sorting equipment cannot effectively identify and sort damaged Camellia oleifera seeds and traditional manual sorting of damaged Camellia oleifera seeds is inefficient and slow, in this paper, a damaged Camellia ...
Zhang Xiao, Erjie Sun, Fengwei Yuan, Jiang Peng, Junjie Liu   +4 more
doaj   +1 more source