A multidisciplinary Journal in the field of Agricultural Engineering

Document Type : Original Article

Authors

Department of Bio-system Mechanical Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

10.22069/bere.2025.22973.1005

Abstract

This study aimed to determine the effects of the diameter and curvature shape of a planter’s seed tube on the uniformity of seed distribution and deviation from the cultivation line. The effects of tube diameter (at four levels, 5, 7, 9, and 11 mm) and tube curvature radius (at three levels, 5, 15, and 20 cm) were investigated on the quality of the seed distribution. The location of the seeds distributed by the planter was obtained by image processing techniques. The results revealed that the diameter and curvature radius of the seed tube did not have significant effects on the uniform distribution of seeds in the travel direction. However, the effects of both factors and their interaction were significant (P < 0.01) on the deviation of seed locations from the cultivation row. Response surface methodology (RSM) was then utilized to optimize the average distance of the seeds in travel and its perpendicular directions. According to the results, the distance of the planted seeds can be optimized with high desirability rates (≈ 1) based on the design parameters of pressurized pneumatic planters. Finally, the results showed that the partial least squares (PLS) method could efficiently predict the average distance of the seeds having the diameter and curvature radius of the seed tube with an R2 value equal to 0.99.

Graphical Abstract

Optimizing the diameter and curvature radius of a seed tube in pressurized pneumatic planting machines

Highlights

Research Highlights:

  • Image processing is useful to study the location of distributed seeds by planters.
  • The diameter and curvature radius of seed tube affect the seed distribution.
  • RSM can optimize the seed tube parameters to provide desirable distributed seeds’ distance.
  • A quadratic model can relate the tube diameter and curvature radius to seeds’ distance.
  • PLS is capable of predicting the distributed seeds’ distance with R2 of 0.99.

Keywords

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