Design and Evaluation of a Dual-Chamber Pre-Cut Cassava Stem Filling Mechanism for Precision Planting

To address the issues of poor seed filling efficiency, low qualified seeding index, and high missed-seeding index in cassava precision planters, this study developed a dual-chamber pre-cut cassava stem filling mechanism. The structure and working principles were analyzed, identifying key factors affecting performance. By employing the discrete element method (DEM) to simulate the interaction between cassava seed stems and the filling mechanism, using statistical analysis to process experimental data, and adopting kinematic and mechanical equilibrium modeling for theoretical analysis, the structure and dimensions of the seed scoop were ultimately optimized. Subsequently, we evaluated the effects of the seed scoop speed in the first filling zone, the seed filling speed ratio, and the seed stem population thickness on performance through multi-factor simulation experiments. Based on the NSGA-II algorithm and the analytic hierarchy process, the optimal parameters were determined as follows: a seed filling speed ratio of 0.78, a seed scoop speed (first filling zone) of 0.6 m/s, and a seed stem population thickness of 290–320 mm. Bench tests under these conditions yielded a 95.31% qualified filling rate (ratio of single-segment cassava stem captured by seed scoop to total stems), 1.89% missed-filling rate (ratio of cassava stem not captured by seed scoop to total stems), and 2.80% double-filling rate (ratio of multi-segment cassava stem captured by seed scoop to total stems). Variety adaptability tests confirmed the mechanism’s robustness for precision planting. These findings offer theoretical guidance for precision planting of stalk-type crops.

Authors

Institutions

Publication Details

Journal
AgriEngineering
Published
2026-05-29
DOI
https://doi.org/10.3390/agriengineering8060216
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Evaluation of a Dual-Chamber Pre-Cut Cassava Stem Filling Mechanism for Precision Planting

Hamidreza Rahmanian, Xiangwei Mou, Elsayed M. Atwa, Xu Ma et al.
AgriEngineering
Soil Mechanics and Vehicle Dynamics
article

Design and Evaluation of a Dual-Chamber Pre-Cut Cassava Stem Filling Mechanism for Precision Planting

Hamidreza Rahmanian, Xiangwei Mou, Elsayed M. Atwa, Xu Ma, Jinming Pan, Jun Wang, Lintao Chen
article en

Abstract

To address the issues of poor seed filling efficiency, low qualified seeding index, and high missed-seeding index in cassava precision planters, this study developed a dual-chamber pre-cut cassava stem filling mechanism. The structure and working principles were analyzed, identifying key factors affecting performance. By employing the discrete element method (DEM) to simulate the interaction between cassava seed stems and the filling mechanism, using statistical analysis to process experimental data, and adopting kinematic and mechanical equilibrium modeling for theoretical analysis, the structure and dimensions of the seed scoop were ultimately optimized. Subsequently, we evaluated the effects of the seed scoop speed in the first filling zone, the seed filling speed ratio, and the seed stem population thickness on performance through multi-factor simulation experiments. Based on the NSGA-II algorithm and the analytic hierarchy process, the optimal parameters were determined as follows: a seed filling speed ratio of 0.78, a seed scoop speed (first filling zone) of 0.6 m/s, and a seed stem population thickness of 290–320 mm. Bench tests under these conditions yielded a 95.31% qualified filling rate (ratio of single-segment cassava stem captured by seed scoop to total stems), 1.89% missed-filling rate (ratio of cassava stem not captured by seed scoop to total stems), and 2.80% double-filling rate (ratio of multi-segment cassava stem captured by seed scoop to total stems). Variety adaptability tests confirmed the mechanism’s robustness for precision planting. These findings offer theoretical guidance for precision planting of stalk-type crops.

AgriEngineeringVol. 8(6)
South China Agricultural University (CN), Guangxi Normal University (CN), Guilin University of Technology (CN), Agricultural Research Center (EG), Zhejiang University (CN)
No poverty
Openalex Percentile: Top 9%
Soil Mechanics and Vehicle Dynamics
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.