Experimental Data — Hall Sensor-Based Detection and Prevention of Seed Misses in Long-Belt Finger-Clip Precision Metering Device

Title: Experimental Data — Hall Sensor-Based Detection and Prevention of Seed Misses in Long-Belt Finger-Clip Precision Metering Device Authors: Aldiyar Bakirov, Nikolay Kostyuchenkov, Oksana Kostyuchenkova, Yerlan Saidalin, Nikolay ZagainovAffiliation: S. Seifullin Kazakh Agrotechnical Research University, Astana, KazakhstanCorresponding Author: Aldiyar Bakirov ([e-mail]) 1. DescriptionThis dataset contains raw experimental data used in the study “Hall Sensor-Based Detection and Prevention of Seed Misses in Long-Belt Finger-Clip Precision Metering Device”, submitted to MDPI AgriEngineering (2025).The experiments were conducted using two precision seed metering devices (for corn and sunflower) retrofitted with a Hall sensor-based Seed Miss Prevention System (SMPS). Seed release intervals were recorded in milliseconds (ms) using a Planter 2NPN KUHN optical sensor. Each file represents a specific combination of rotational speed, crop type, and experimental configuration. 2. File Naming ConventionEach file name follows the format:[Speed]rpm_[Crop]_[Mode].csv where:- [Speed] — rotation speed of the metering device in revolutions per minute (e.g., 10rpm, 80rpm).- [Crop] — tested seed type: - corn — Zea mays L., hybrid Dekalb DKC5032 - sunflower — Helianthus annuus L., variety Astana- [Mode] — experimental configuration: - C — Seed Miss Prevention System disabled, without magnets - MC — Seed Miss Prevention System disabled, with magnets - E — Seed Miss Prevention System enabled, with magnets Examples:- 10rpm_sunflower_C.csv → Sunflower, 10 rpm, SMPS disabled, no magnets- 10rpm_sunflower_MC.csv → Sunflower, 10 rpm, SMPS disabled, with magnets- 10rpm_sunflower_E.csv → Sunflower, 10 rpm, SMPS enabled, with magnets- 80rpm_corn_C.csv → Corn, 80 rpm, SMPS disabled, no magnets- 80rpm_corn_MC.csv → Corn, 80 rpm, SMPS disabled, with magnets- 80rpm_corn_E.csv → Corn, 80 rpm, SMPS enabled, with magnets 3. Data StructureEach CSV file contains time interval measurements (in milliseconds) corresponding to the time between two consecutive seed releases detected by the optical sensor.- Column 1: Time interval between consecutive seed passages (ms)- Each row: Represents one measured interval during continuous seeding operation Data were recorded continuously for approximately 3000 seeds per test, ensuring sufficient statistical reliability for each configuration. 4. Measurement Setup- Optical Sensor: Planter 2NPN KUHN- Additional Sensor: Hall sensor NJK-5002C for magnetic field detection- Controller: ESP32 (WROOM) microcontroller, custom PCB- Motor: Nema 34 stepper motor (12 Nm)- Software: Custom Arduino firmware (PlatformIO, C language) and Android BLE interface (Kotlin)- Seed varieties: - Corn — Dekalb DKC5032 variety - Sunflower — Astana variety- Speed range: 10–80 rpm- Sample size: ~3000 seeds per run 5. Notes- All time interval values are expressed in milliseconds (ms).- Experimental repetitions were conducted under controlled laboratory conditions.- Data are provided in raw form without smoothing or averaging.- Statistical analysis (e.g., Tukey HSD, Miss Index) presented in the manuscript was performed using Python (NumPy, pandas, Seaborn, Statsmodels).