Geometry-Based Measurement and Error Compensated for Cotton Bale Dimensions in Packing Cotton Pickers

Precision agriculture is a key trend in future agricultural development. Nevertheless, as a key crop in the global economy, cotton precision harvesting remains in its infancy. Therefore, this study proposes a method to precisely regulate cotton bale dimensions in packing cotton pickers, aiming to advance the precision harvesting of cotton. Firstly, based on the two basic assumptions, the relationship between the rotation angle of the rocker-arm component and the cotton bale dimension was derived. In addition, the one-to-one correspondence between the rotation angle and the dimension was demonstrated. Subsequently, a numerical case study was conducted to validate the method’s feasibility initially. However, solver failure occurred at larger angles, necessitating model refinement by incorporating the elastic deformation of the packing belt. Finally, a prototype was built and field tests were carried out. Based on the first field experiment results, the error caused by model simplification was compensated with quadratic polynomial least squares fitting. After compensating, the second field experiment results show that the absolute error in bale dimension remained below 49 mm and the relative error below 2.13%, as the diameter of the cotton bale was less than 2300 mm. This study lays a superior foundation for the precision harvesting of cotton.

Authors

Institutions

Publication Details

Journal
Machines
Published
2026-07-27
DOI
https://doi.org/10.3390/machines14080853
Primary Topic
Agricultural Engineering and Mechanization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geometry-Based Measurement and Error Compensated for Cotton Bale Dimensions in Packing Cotton Pickers

Zhantao Li, Xianying Feng, X Q Wang, Qingsong Lei et al.
Machines
Agricultural Engineering and Mechanization
article

Geometry-Based Measurement and Error Compensated for Cotton Bale Dimensions in Packing Cotton Pickers

Zhantao Li, Xianying Feng, X Q Wang, Qingsong Lei, Yanting Zhai
article en

Abstract

Precision agriculture is a key trend in future agricultural development. Nevertheless, as a key crop in the global economy, cotton precision harvesting remains in its infancy. Therefore, this study proposes a method to precisely regulate cotton bale dimensions in packing cotton pickers, aiming to advance the precision harvesting of cotton. Firstly, based on the two basic assumptions, the relationship between the rotation angle of the rocker-arm component and the cotton bale dimension was derived. In addition, the one-to-one correspondence between the rotation angle and the dimension was demonstrated. Subsequently, a numerical case study was conducted to validate the method’s feasibility initially. However, solver failure occurred at larger angles, necessitating model refinement by incorporating the elastic deformation of the packing belt. Finally, a prototype was built and field tests were carried out. Based on the first field experiment results, the error caused by model simplification was compensated with quadratic polynomial least squares fitting. After compensating, the second field experiment results show that the absolute error in bale dimension remained below 49 mm and the relative error below 2.13%, as the diameter of the cotton bale was less than 2300 mm. This study lays a superior foundation for the precision harvesting of cotton.

MachinesVol. 14(8)
Shandong University (CN), Shandong Academy of Agricultural Machinery Sciences (CN)
Department of Science and Technology of Shandong Province
Zero hunger
Openalex Percentile: Top 16%
Agricultural Engineering and Mechanization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.