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Rezaeiasl, Abbas, Nasiritalashi, Hosain, Rahmati, Mohammadhashem. (1404). Optimizing the diameter and curvature radius of a seed tube in pressurized pneumatic planting machines. , 1(1), 37-43. doi: 10.22069/bere.2025.22973.1005
Abbas Rezaeiasl; Hosain Nasiritalashi; Mohammadhashem Rahmati. "Optimizing the diameter and curvature radius of a seed tube in pressurized pneumatic planting machines". , 1, 1, 1404, 37-43. doi: 10.22069/bere.2025.22973.1005
Rezaeiasl, Abbas, Nasiritalashi, Hosain, Rahmati, Mohammadhashem. (1404). 'Optimizing the diameter and curvature radius of a seed tube in pressurized pneumatic planting machines', , 1(1), pp. 37-43. doi: 10.22069/bere.2025.22973.1005
Rezaeiasl, Abbas, Nasiritalashi, Hosain, Rahmati, Mohammadhashem. Optimizing the diameter and curvature radius of a seed tube in pressurized pneumatic planting machines. , 1404; 1(1): 37-43. doi: 10.22069/bere.2025.22973.1005

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

Biosystems Engineering and Renewable Energies
دوره 1، شماره 1، تیر 2025، صفحه 37-43    اصل مقاله (835.88 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22069/bere.2025.22973.1005
نویسندگان
Abbas Rezaeiasl* ؛ Hosain Nasiritalashi؛ Mohammadhashem Rahmati
Department of Bio-system Mechanical Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
چکیده
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.

تازه های تحقیق

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.
کلیدواژه‌ها
response surface methodology؛ image processing؛ cylinder distributor؛ uniform distribution؛ partial least squares
مراجع
Abdulkadir, T. D., Mahadi, M. R., Wayayok, A., & Kassim, M. S. M. (2019). Operational parameters affecting pneumatic paddy seeds handling using vacuum pressure. Agricultural Engineering International: CIGR Journal, 21(2).

An, X., Wang, S., Duan, H., Yang, C., & Yu, Y. (2017). Test on effect of the operating speed of maize-soybean interplanting seeders on performance of seeder-metering devices. Procedia Engineering, 174, 353–359. https://doi.org/10.1016/j.proeng.2017.01.153

Asefpour Vakilian, K. & Massah, J. (2017). A farmer-assistant robot for nitrogen fertilizing management of greenhouse crops. Computers and Electronics in Agriculture, 139, 153–163. https://doi.org/10.1016/j.compag.2017.05.012

Barth, R., Hemming, J., & Van Henten, E. J. (2019). Angle estimation between plant parts for grasp optimisation in harvest robots. Biosystems Engineering, 183, 26–46. https://doi.org/10.1016/j.biosystemseng.2019.04.006

Cay, A., Kocabiyik, H., & May, S. (2018a). Development of an electro-mechanic control system for seed-metering unit of single seed corn planters Part I: Design and laboratory simulation. Computers and Electronics in Agriculture, 144, 71–79.     https://doi.org/10.1016/j.compag.2017.11.035

Cay, A., Kocabiyik, H., and May, S., 2018b. Development of an electro-mechanic control system for seed-metering unit of single seed corn planters Part II: Design and laboratory simulation. Computers and Electronics in Agriculture, 144, 11–17.    https://doi.org/10.1016/j.compag.2017.11.035

Deng, X., Li, X., Shu, C., Huang, H., Liao, Q., XiaoYan, D., Xu, L., CaiXia, S., HaiDong, H., & QingXi, L. (2010). Mathematical model and optimization of structure and operating parameters of pneumatic precision metering device for rapeseed. Journal of Food, Agriculture and Environment, 8, 318–322.  

Dubey, S. R. & Jalal, A. S. (2015). Application of image processing in fruit and vegetable analysis: A review. Journal of Intelligent Systems, 24(4), 405–424. https://doi.org/10.1515/jisys-2014-0079

Fellegari, R., & Navid, H. (2011). Determining the orange volume using image processing. In International Conference on Food Engineering and Biotechnology (ICFEB 2011) (pp. 180–184).

Garg, A., Shrivastava, C., Murai, Y., & Windhab, E. J. (2019). Impact of airflow on the heat transfer conditions inside an oven cavity, characterized using particle imaging velocimetry. Physics of Fluids, 31(10), 107109. https://doi.org/10.1063/1.5122800

Guarella, P., Pellerano, A., & Pascuzzi, S. (1996). Experimental and theoretical performance of a vacuum seeder nozzle for vegetable seeds. Journal of Agricultural Engineering Research, 64, 29–36. https://doi.org/10.1006/jaer.1996.0043

Iacomi, C., & Popescu, O. (2015). A New Concept for seed precision planting. Agriculture and Agricultural Science Procedia, 6, 38–43. https://doi.org/10.1016/j.aaspro.2015.08.035

Ibrahim, E. J., Liao, Q., Wang, L., Liao, Y., & Yao, L. (2018). Design and experiment of multi-row pneumatic precision metering device for rapeseed. International Journal of Agricultural and Biological Engineering, 11(5), 116–123.        https://doi.org/10.25165/j.ijabe.20181105.3544

Karayel, D. (2009). Performance of a modified precision vacuum seeder for no-till sowing of maize and soybean. Soil and Tillage Research, 104, 121–125. https://doi.org/10.1016/j.still.2009.02.001

Karayel, D., Barut, Z. B., & Özmerzi, A. (2004). Mathematical modelling of vacuum pressure on a precision seeder. Biosystems Engineering, 87, 437–444. https://doi.org/10.1016/j.biosystemseng.2004.01.011

Ma, H., Shen, S., Yu, M., Yang, Z., Fei, M., & Zhou, H. (2019). Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey. Swarm and Evolutionary Computation, 44, 365–387. https://doi.org/10.1016/j.swevo.2018.04.011

Maleki, M. R., Jafari, J. F., Raufat, M. H., Mouazen, A. M., & Baerdemaeker, J. (2006). Evaluation of seed distribution uniformity of a multi-flight auger as a grain drill metering device. Biosystems Engineering, 94, 535–543. https://doi.org/10.1016/j.biosystemseng.2006.04.003

Malmir, M., Tahmasbian, I., Xu, Z., Farrar, M. B., & Bai, S. H. (2020). Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection. Journal of Soils and Sediments, 20(1), 249–259. https://doi.org/10.1007/s11368-019-02418-z

Meruliya, T., Dhameliya, P., Patel, J., Panchal, D., Kadam, P., & Naik, S., (2015). Image processing for fruit shape and texture feature extraction-review. International Journal of Computer Applications, 975, 30–33.

Morimoto, T., Takeuchi, T., Miyata, H., & Hashimoto, Y. (2000). Pattern recognition of fruit shape based on the concept of chaos and neural networks. Computers and Electronics in Agriculture, 26(2), 171–186.  https://doi.org/10.1016/S0168-1699(00)00070-3

Önal, İ., Değİrmencİoğlu, A., & Yazgi, A. (2012). An evaluation of seed spacing accuracy of a vacuum type precision metering unit based on theoretical considerations and experiment. Turkish Journal of Agriculture and Forestry, 36, 133–144. https://doi.org/10.3906/tar-1010-1316

Özmerzi, A., Karayel, D., & Topakci, M. (2002). Effect of sowing depth on precision seeder uniformity. Biosystems Engineering, 82, 227–230. https://doi.org/10.1006/bioe.2002.0057

Patt, J. M., Tarshis Moreno, A. M., & Niedz, R. P. (2020). Response surface methodology reveals proportionality effects of plant species in conservation plantings on occurrence of generalist predatory arthropods. PloS one, 15(4), e0231471.        https://doi.org/10.1371/journal.pone.0231471

Popa, C. V., Vasilescu, A., Litescu, S. C., Albu, C., & Danet, A. F. (2020). Metal nano-oxide based colorimetric sensor array for the determination of plant polyphenols with antioxidant properties. Analytical Letters, 53(4), 627–645. https://doi.org/10.1080/00032719.2019.1662430

Sarlaki, E., Sharif Paghaleh, A, Kianmehr, M.H., & Asefpour Vakilian, K., (2020). Valorization of lignite waste into humic acids: Process optimization, energy efficiency and structural features analysis. Renewable Energy, 163, 105–122.        https://doi.org/10.1016/j.renene.2020.08.096

Scheidt, W., dos Santos Pedroza, I. C. P., Fontana, J., da Cruz Meleiro, L. A., de Barros Soares, L. H., & Reis, V. M. (2020). Optimization of culture medium and growth conditions of the plant growth-promoting bacterium Herbaspirillum seropedicae BR11417 for its use as an agricultural inoculant using response surface methodology (RSM). Plant and Soil, 451(1), 75–87. https://doi.org/10.1007/s11104-019-04172-0

Singh, R. C., Singh, G., & Saraswat, D. C. (2005). Optimisation of design and operational parameters of a pneumatic seed metering device for planting cottonseeds. Biosystems Engineering, 92, 429–438. https://doi.org/10.1016/j.biosystemseng.2005.07.002

Tang, J. L., Chen, X. Q., Miao, R. H., & Wang, D. (2016). Weed detection using image processing under different illumination for site-specific areas spraying. Computers and Electronics in Agriculture, 122, 103–111. https://doi.org/10.1016/j.compag.2015.12.016

Wang, A., Zhang, W., & Wei, X. (2019). A review on weed detection using ground-based machine vision and image processing techniques. Computers and Electronics in Agriculture, 158, 226–240. https://doi.org/10.1016/j.compag.2019.02.005

Yasir, S.H., Liao, Q., Yu, J., & He, D. (2012). Design and test of a pneumatic precision metering device for wheat. Agricultural Engineering International: CIGR Journal, 14, 16–25.

Yazgi, A. & Degirmencioglu, A. (2007). Optimisation of the seed spacing uniformity performance of a vacuum-type precision seeder using response surface methodology. Biosystems Engineering, 97, 347–356. https://doi.org/10.1016/j.biosystemseng.2007.03.013

Yazgi, A. & Degirmencioglu, A. (2014). Measurement of seed spacing uniformity performance of a precision metering unit as function of the number of holes on vacuum plate. Measurement, 56, 128–135. https://doi.org/10.1016/j.measurement.2014.06.026

Zhai, Z., Zhu, Z., Du, Y., Song, Z., & Mao, E. (2016). Multi-crop-row detection algorithm based on binocular vision. Biosystems Engineering, 150, 89–103. https://doi.org/10.1016/j.biosystemseng.2016.07.009

Zhan, Z., Yaoming, L., Jin, C., & Lizhang, X. (2010). Numerical analysis and laboratory testing of seed spacing uniformity performance for vacuum-cylinder precision seeder. Biosystems Engineering, 106, 344–351. https://doi.org/10.1016/j.biosystemseng.2010.02.012

Zhang, S., You, Z., & Wu, X. (2019). Plant disease leaf image segmentation based on superpixel clustering and EM algorithm. Neural Computing and Applications, 31(2), 1225–1232.https://doi.org/10.1007/s00521-017-3067-8

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