Design and field validation of an automated sensor-integrated high-capacity corn plot seeder

Efficient and accurate plot seeding is essential for modern crop breeding and precision agriculture. However, existing systems demonstrate limitations in terms of automation, throughput, and sensing capabilities. To address these challenges, an automated, sensor-integrated, high-capacity planting system was developed for corn plot seeders. The mechanical dynamics of seed delivery were analyzed, and key parameters, including opener tip angle, tilt angle, pushrod speed, and opening position, were optimized using response surface methodology. The optimal parameter combination (30°, 49°, 90 mm/s, and - 9 mm, respectively) yielded a seeding qualification rate of 99.33%. A three-stage sensor module comprising QR code recognition, cartridge positioning, and seed-drop detection was integrated to ensure accurate seed-plot matching. Field experiments demonstrated a 76% reduction in manual intervention, with an error tolerance of 0.1%. Therefore, the proposed system provides an effective and scalable solution for precision plot seeding and offers a practical framework for upgrading existing agricultural equipment.

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Publication Details

Journal
Scientific Reports
Published
2026-06-19
DOI
https://doi.org/10.1038/s41598-026-56274-2
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
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article

Design and field validation of an automated sensor-integrated high-capacity corn plot seeder

Yan Ye
Scientific Reports
Soil Mechanics and Vehicle Dynamics
article

Design and field validation of an automated sensor-integrated high-capacity corn plot seeder

Yan Ye
article en

Abstract

Efficient and accurate plot seeding is essential for modern crop breeding and precision agriculture. However, existing systems demonstrate limitations in terms of automation, throughput, and sensing capabilities. To address these challenges, an automated, sensor-integrated, high-capacity planting system was developed for corn plot seeders. The mechanical dynamics of seed delivery were analyzed, and key parameters, including opener tip angle, tilt angle, pushrod speed, and opening position, were optimized using response surface methodology. The optimal parameter combination (30°, 49°, 90 mm/s, and - 9 mm, respectively) yielded a seeding qualification rate of 99.33%. A three-stage sensor module comprising QR code recognition, cartridge positioning, and seed-drop detection was integrated to ensure accurate seed-plot matching. Field experiments demonstrated a 76% reduction in manual intervention, with an error tolerance of 0.1%. Therefore, the proposed system provides an effective and scalable solution for precision plot seeding and offers a practical framework for upgrading existing agricultural equipment.

Scientific Reports
Harbin Electric Corporation (China) (CN), Education Department of Heilongjiang Province (CN), Heilongjiang Academy of Agricultural Machinery Engineering (CN)
Zero hunger
Openalex Percentile: Top 11%
Soil Mechanics and Vehicle Dynamics
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