Construction and Testing of an Empirical Model for Calculating the Tumbled Range of Dry Prickly Ash Particles on the Separation Belt DOI

Liewang Cao,

Chen Ma,

Haobo Jiao

и другие.

Опубликована: Янв. 1, 2023

In this paper, an empirical model is proposed for calculating the tumbled range of dry prickly ash particles on separation belt to provide a method obtaining individual ranges pericarp, closed exocarp, and seed achieve transverse inclined mechanism. First, single-factor test was conducted mechanism, movement trajectories surface were extracted based Kalman filtering high-speed camera system. Then, during tumbling simplified through regression analysis, from which derived. Furthermore, X-axis acceleration Y-axis velocity determined by combining kinetic analysis normal distribution test. Finally, used derive pericarp particle at optimal inclination lateral end divided into collecting area, reseparating wasting area. After validation, it shown that average mass proportion in area 97.3%, agrees with calculations. The instructive process can be applied study spherical motional surface.

Язык: Английский

Finite element modeling of the biomechanical properties of Populus tomentosa branches and analysis of pruning mechanisms DOI
Yichen Ban, Yang Liu,

Shihong Ba

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 236, С. 110502 - 110502

Опубликована: Май 9, 2025

Язык: Английский

Процитировано

0

Research on Recognition of Green Sichuan Pepper Clusters and Cutting-Point Localization in Complex Environments DOI Creative Commons
Qi Niu, Wenjun Ma, Rui Diao

и другие.

Agriculture, Год журнала: 2025, Номер 15(10), С. 1079 - 1079

Опубликована: Май 16, 2025

The harvesting of green Sichuan pepper remains heavily reliant on manual field operations, but automation can enhance the efficiency, quality, and sustainability process. However, challenges such as intertwined branches, dense foliage, overlapping clusters hinder intelligent by causing inaccuracies in target recognition localization. This study compared performance multiple You Only Look Once (YOLO) algorithms for proposed a cluster segmentation method based K-means++ cutting-point localization strategy using geometry-based iterative optimization. A dataset containing 14,504 training images under diverse lighting occlusion scenarios was constructed. Comparative experiments YOLOv5s, YOLOv8s, YOLOv11s models revealed that achieved recall 0.91 leaf-occluded environments, marking 21.3% improvement over with detection speed 28 Frames Per Second(FPS). K-means++-based separation algorithm (K = 1~10, optimized via elbow method) developed combined OpenCV to iteratively solve minimum circumscribed triangle vertices. longest median extension line dynamically determined be cutting point. experimental results demonstrated an average deviation 20 mm valid ratio 69.23%. research provides robust visual solution equipment, offering both theoretical engineering significance advancing automated (Zanthoxylum schinifolium) specialty economic crop.

Язык: Английский

Процитировано

0

Construction and testing of an empirical model for calculating the tumbled range of dry prickly ash particles on the separation belt DOI

Liewang Cao,

Chen Ma,

Haobo Jiao

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 218, С. 108711 - 108711

Опубликована: Фев. 19, 2024

Язык: Английский

Процитировано

2

Test and analysis of walnut (Juglans regia L.) tree vibration transfer based on a low-frequency shaking table DOI
Jiale Cao,

Jianshuo An,

Daochun Xu

и другие.

Industrial Crops and Products, Год журнала: 2024, Номер 216, С. 118797 - 118797

Опубликована: Май 21, 2024

Язык: Английский

Процитировано

1

Construction and Testing of an Empirical Model for Calculating the Tumbled Range of Dry Prickly Ash Particles on the Separation Belt DOI

Liewang Cao,

Chen Ma,

Haobo Jiao

и другие.

Опубликована: Янв. 1, 2023

In this paper, an empirical model is proposed for calculating the tumbled range of dry prickly ash particles on separation belt to provide a method obtaining individual ranges pericarp, closed exocarp, and seed achieve transverse inclined mechanism. First, single-factor test was conducted mechanism, movement trajectories surface were extracted based Kalman filtering high-speed camera system. Then, during tumbling simplified through regression analysis, from which derived. Furthermore, X-axis acceleration Y-axis velocity determined by combining kinetic analysis normal distribution test. Finally, used derive pericarp particle at optimal inclination lateral end divided into collecting area, reseparating wasting area. After validation, it shown that average mass proportion in area 97.3%, agrees with calculations. The instructive process can be applied study spherical motional surface.

Язык: Английский

Процитировано

0