ADVANCES IN AUTOMATION FOR PLUG SEEDLING CULTIVATION AND TRANSPLANTING IN GREENHOUSES: A REVIEW

Authors

  • Ibrar Ahmad Ph.D Scholar, College of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou, China Author
  • Aftab Khaliq Scientific Officer, Agricultural Engineering Institute, National Agriculture Research Centre, Islamabad. Author
  • Bushra Saddique Ph.D Scholar, College of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou, China. Author
  • Fiaz Ahmad Professor, Department of Agricultural Engineering, Bahauddin Zakariya University, Multan. Author
  • Mahmood Ali Scientific Officer, Agricultural Engineering Institute, National Agricultural Research Centre, Pakistan Agricultural Research Council, Islamabad. Author
  • Muhammed Shoaib Scientific Officer, Agricultural Engineering Institute, National Agricultural Research Centre, Pakistan Agricultural Research Council, Islamabad. Author

DOI:

https://doi.org/10.58475/2025.63.3.1168

Keywords:

Agriculture automation, smart greenhouse, automatic transplanting, machine vision, path planning, sustainable agriculture, Pakistan

Abstract

The world food security needs the adoption of effective and sustainable agricultural practices, which is affected by factors like population growth, labor shortage, and rising production costs. Especially in vegetable farming that is an important source of nutrients is impacted. Plug seedling systems, where transplants are cultivated in regulated greenhouse conditions, have much to recommend them, such as lower establishment costs, more efficient resource use (water, nutrients, pesticides) and better uniformity of crops. However, cultivating and transplanting of these seedlings are laborious activities, which require precision. This review explores the critical role of agriculture automation technologies in solving such challenges. In particular, we review the results of the current automated solutions used along the plug seedling production chain, such as automatic seedling quality evaluation, machine vision-controlled robotics to monitor and grade quality, robotic, and automated transplanting systems. Analysis of the findings demonstrate that these technologies can be helpful in increasing productivity, maintaining high quality and greatly decreasing reliance on manual labor. Lastly, we recognize existing constraints and future trends in order to offer future research and development directions in the field of smart greenhouse automation.

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References

Ahmad, F., M. Adeel, B. Qiu, J. Ma, M. Shoaib, A. Shakoor, and F. A. Chandio. 2021. Sowing uniformity of bed-type pneumatic maize planter at various seedbed preparation levels and machine travel speeds. Int. J. Agric. Biol. Eng. 14(1):165-171. https:// doi.org/10.25165/j.ijabe.20211401.5054

Ahmad, I., B. Siddique, M. A. Islam, Z. U. Haq, Z. Niu, M. M. Waqas, Q. Yang, and Z. Qiu. 2025. Development and evaluation of digital twin model for rack and pinion drive vegetable seedling transmission device using Adams/MATLAB co-simulation. Simul. Model. Pract. Theory 139:103132. https:// doi.org/10.1016/j.simpat.2025.103132

Ampim, P. A. Y., E. Obeng, and E. Olvera Gonzalez. 2022. Indoor vegetable production: An alternative approach to increasing cultivation. Plants 11(21):1-15. https://doi.org/10.3390/plants11214236

Bai, J., F. Hao, G. Cheng, and C. Li. 2021. Machine vision-based supplemental seeding device for plug seedling of sweet corn. Comput. Electron. Agric. 188:106345. https:// doi.org/10.1016/j.compag.2021.106345

Bochtis, D., L. Benos, M. Lampridi, V. Marinoudi, S. Pearson, and C. G. Sørensen. 2020. Agricultural workforce crisis in light of the COVID-19 pandemic. Sustainability 12(19):8212. https://doi.org/10.3390/su12198212

Cheng, B., H. Wu, H. Zhu, J. Liang, Y. Miao, Y. Cui, and W. Song. 2024. Current status and analysis of key technologies in automatic transplanters for vegetables in China. Agriculture 14(12):1-16. https://doi.org/10.3390/agriculture14122345

Dong, J., N. Gruda, X. Li, Z. Cai, L. Zhang, and Z. Duan. 2022. Global vegetable supply towards sustainable food production and a healthy diet. J. Clean. Prod. 369:133212. https://doi.org/10.1016/j.jclepro.2022.133212

Drăghici, C., I. V. Abrudan, A. Hoble, R. Enescu, G. Spârchez, and I. Crăciunesc. 2024. The influence of minimal cultivation techniques on growth rate of Robinia pseudacacia L. seedlings. Forests 15(5):785. https://doi.org/10.3390/f15050785

Gao, G., T. Feng, and F. Li. 2015. Working parameters optimization and experimental verification of inclined-inserting transplanting manipulator for plug seedling. Trans. Chin. Soc. Agric. Eng. 31(24):16-22. https://doi. org/10.11975/j.issn.1002-6819.2015.24.003

Hamidon, M. H., and T. Ahamed. 2023. Detection of defective lettuce seedlings grown in an indoor lighting environment under different conditions using deep learning algorithms. Sensors 23(13):5790. https://doi.org/10.3390/s23135790

Han, L., H. Mao, F. Kumi, and J. Hu. 2018. Development of a multi-task robotic transplanting workcell for greenhouse seedlings. Appl. Eng. Agric. 34(2):335 342. https://doi.org/10.13031/aea.12462

Han, L., M. Mo, H. Ma, F. Kumi, H. Mao, and J. Hu. 2023. Design and test of a lateral approaching and horizontal-pushing transplanting manipulator for greenhouse seedlings. Appl. Eng. Agric. 39(3):325 338. https://doi.org/10.13031/aea.15420

Han, X., C. Wang, and S. Yi. 2025. Seedling picking devices for automatic transplanters: A systematic review. J. Eng. Sci. Technol. Rev. 18(1):127 136. https://doi.org/10.25103/jestr.181.14

Hu, J., X. Yan, J. Ma, C. Qi, K. Francis, and H. Mao. 2014. Dimensional synthesis and kinematics simulation of a high-speed plug seedling transplanting robot. Comput. Electron. Agric. 107:64-72. https://doi. org/10.1016/j.compag.2014.06.004

Iradukunda, M., M. W. van Iersel, L. Seymour, G. Lu, and R. S. Ferrarezi. 2024. Low-cost imaging to quantify germination rate and seedling vigor across lettuce cultivars. Sensors 24(13):4225. https://doi.org/10.3390/s24134225

Jiang, Z., M. Zhou, J. Tong, H. Jiang, Y. Yang, A. Wang, and Z. You. 2015. Comparing an ant colony algorithm with a genetic algorithm for replugging tour planning of seedling transplanter. Comput. Electron. Agric. 113:225-233. https:// doi.org/10.1016/j.compag.2015.02.011

Kang, D. H., D. E. Kim, G. I. Lee, Y. H. Kim, H. J. Lee, and Y. B. Min. 2012. Development of a vegetable transplanting robot. J. Biosyst. Eng. 37(3):201 208. https://doi.org/10.5307/jbe.2012.37.3.201

Khadatkar, A., C. P. Sawant, A. P. Magar, and V. Kumar. 2025. Agricultural robots and automated machinery for handling of nursery seedlings with special reference to the transplanting devices. Discov. Appl. Sci. 7(8):1-15. https:// doi.org/10.1007/s44200-025-00056-3

Khan, N., R. L. Ray, G. R. Sargani, M. Ihtisham, M. Khayyam, and S. Ismail. 2021. Current progress and future prospects of agriculture technology: Gateway agriculture. to Sustainability sustainable 13(9):5072. https://doi.org/10.3390/su13095072

Kwon, H. H., H. J. Oh, J. H. Kim, and S. Y. Kim. 2021. Development of raising seedling technology for Veronica pyrethrina Nakai using plug trays. J. People Plants Environ. 24(5):499-507. https://doi.org/10.11628/ksppe.2021.24.5.499

Li, M., Y. Liao, Z. Lu, M. Sun, and H. Lai. 2023. Non destructive monitoring method for leaf area of Brassica napus based on image processing and deep learning. Front. Plant Sci. 14:1163700. https://doi.org/10.3389/fpls.2023.1163700

Li, M., X. Jin, J. Ji, P. Li, and X. Du. 2021. Design and experiment of intelligent sorting and transplanting system for healthy vegetable seedlings. Int. J. Agric. Biol. Eng. 14(4):208-216. https:// doi.org/10.25165/j.ijabe.20211404.6169

Li, X., W. Wang, G. Liu, R. Li, and F. Li. 2022. Optimizing the path of plug tray seedling transplanting by using the improved A* algorithm. Agriculture 12(9):1302. https:// doi.org/10.3390/agriculture12091302

Liu, J., Z. Xiao, Y. Tan, E. Sun, B. He, and G. Ma. 2023. A study on the optimal grasping angle algorithm for plug seedlings based on machine vision. Agronomy 13(9):2253. https://doi.org/10.3390/agronomy13092253

Liu, W., S. Tian, Q. Wang, and H. Jiang. 2023. Key technologies of plug tray seedling transplanters in protected agriculture: A review. Agriculture 13(8):1456. https:// doi.org/10.3390/agriculture13081456

Liu, W., M. Xu, and H. Jiang. 2024. Design, integration, and experiment of transplanting robot for early plug tray seedling in a plant factory. AgriEngineering 6(1):678-697. https:// doi.org/10.3390/agriengineering6010040

Maja, M. M., and S. F. Ayano. 2021. The impact of population growth on natural resources and farmers’ capacity to adapt to climate change in low-income countries. Earth Syst. Environ. 5(2):271-283. https:// doi.org/10.1007/s41748-021-00223-9

Miah, M. S., M. M. Rahman, M. A. Hoque, S. M. Ibrahim, M. Sultan, R. R. Shamshiri, M. Ucgul, M. Hasan, and T. N. Barna. 2023. Design and evaluation of a power tiller vegetable seedling transplanter with dibbler and furrow type. Heliyon 9(8):e17827. https:// doi.org/10.1016/j.heliyon.2023.e17827

Ning, M., W. Sun, J. Luo, and L. Zhang. 2025. Electric self-propelled double row transplanter for Angelica sinensis seedlings. Comput. Electron. Agric. 237:110512. https:// doi.org/10.1016/j.compag.2025.110512

Saadi, H., M. Behnia, M. Taki, and A. Kaab. 2025. A comparative study on energy use and environmental impacts in various greenhouse models for vegetable cultivation. Environ. Sustain. Indic. 25:100553. https:// doi.org/10.1016/j.indic.2025.100553

Samiei, S., P. Rasti, J. L. Vu, J. Buitink, and D. Rousseau. 2020. Deep learning-based detection of seedling development. Plant Methods 16(1):145. https://doi.org/10.1186/s13007-020-00647-9

Sharma, A., and S. Khar. 2024. Design and development of a vegetable plug seedling transplanting mechanism for a semi-automatic transplanter. Sci. Hortic. 326:112773. https:// doi.org/10.1016/j.scienta.2023.112773

Sharma, A., L. Kumawat, and A. Singh. 2023. Development of robotics in vegetable seedling transplantation: A future research direction. Int. J. Veg. Sci. 29(6):577-591. https:// doi.org/10.1080/19315260.2023.2267076

Tan, S., J. Liu, H. Lu, M. Lan, J. Yu, G. Liao, Y. Wang, Z. Li, L. Qi, and X. Ma. 2022. Machine learning approaches for rice seedling growth stages detection. Front. Plant Sci. 13:914771. https://doi.org/10.3389/fpls.2022.914771

Tansuchat, R., T. Pankasemsuk, C. Panmanee, T. Rattanasamakarn, and K. Palason. 2023. Analyzing food loss in the fresh longan supply chain: Evidence from field survey measurements. Agriculture 13(10):1951. https://doi.org/10.3390/agriculture13101951

Tong, J. H., J. B. Li, and H. Y. Jiang. 2013. Machine vision techniques for the evaluation of seedling quality based on leaf area. Biosyst. Eng. 115(3):369-379. https://doi. org/10.1016/j.biosystemseng.2013.02.006

Tong, J., C. Wu, H. Jiang, Y. Yu, and X. Rao. 2017. Optimizing the path of seedling low-density transplanting by using greedy genetic algorithm. Comput. Electron. Agric. 142:356-368. https:// doi.org/10.1016/j.compag.2017.09.017

Wang, X. 2022. Managing land carrying capacity: Key to achieving sustainable production systems for food security. Land 11(4):587. https://doi.org/10.3390/land11040587

Wen, Y., L. Zhang, X. Huang, T. Yuan, J. Zhang, Y. Tan, and Z. Feng. 2021. Design of and experiment with seedling selection system for automatic transplanter for vegetable plug seedlings. Agronomy 11(10):2031. https://doi.org/10.3390/agronomy11102031

Xu, S., Y. Zhang, W. Dong, Z. Bie, C. Peng, and Y. Huang. 2023. Early identification and localization algorithm for weak seedlings based on phenotype detection and machine learning. Agriculture 13(1):212. https:// doi.org/10.3390/agriculture13010212

Yang, Q., I. Ahmad, M. Faheem, B. Siddique, H. Xu, and M. Addy. 2021. Development and assessment of belt-drive seedlings transmission device for fully-automatic vegetable transplanter. Comput. Electron. Agric. 182:105958. https:// doi.org/10.1016/j.compag.2020.105958

Yang, Q., G. Huang, X. Shi, M. He, I. Ahmad, X. Zhao, and M. Addy. 2020. Design of a control system for a mini-automatic transplanting machine of plug seedling. Comput. Electron. Agric. 169:105226. https:// doi.org/10.1016/j.compag.2020.105226

Yang, Q., L. Xu, X. Shi, I. Ahmad, H. Mao, J. Hu, and L. Han. 2018. Design of seedlings separation device with reciprocating movement seedling cups and its controlling system of the full automatic plug seedling transplanter. Comput. Electron. Agric. 147:131-145. https:// doi.org/10.1016/j.compag.2018.02.004

Yang, T. W., C. Y. Wu, J. H. Tong, and Y. X. Yu. 2017. Path optimization for seedling transplanting based on TPCG strategy. Int. J. Agric. Biol. Eng. 10(6):141-150. https:// doi.org/10.25165/j.ijabe.20171006.2985

Yang, Z., W. Zhang, W. Li, Y. Chen, and P. Song. 2014. Information of potted-seedling acquisition transplanting method f itness using monocular vision. Trans. Chin. Soc. Agric. Eng. 30(3):112-119. https://doi. org/10.3969/j.issn.1002-6819.2014.03.015

Zamborain-Mason, J., J. G. Eurich, W. R. Friedman, J. A. Gephart, H. M. Kelahan, K. L. Seto, N. L. Andrew, M. K. Sharp, A. Tekaieti, E. Timeon, and C. D. Golden. 2025. The contribution of aquatic foods to human nutrient intake and adequacy in a small island developing state. Sci. Rep. 15(1):10330. https://doi.org/10.1038/s41598-025-11030-w

Zhang, B., X. Wen, Y. Wen, X. Wang, H. Zhu, Z. Pan, and Z. Yang. 2022. Design and testing of a closed multi-channel air-blowing seedling pick-up device for an automatic vegetable transplanter. Agriculture 14(10):1688. https://doi.org/10.3390/agriculture14101688

Zhang, T., J. Zhou, W. Liu, R. Yue, M. Yao, J. Shi, and J. Hu. 2024. Seedling-YOLO: High efficiency target detection algorithm for f ield broccoli seedling transplanting quality based on YOLOv7-tiny. Agronomy 14(5):931. https://doi.org/10.3390/agronomy14050931

Zhao, S., J. Liu, Y. Jin, Z. Bai, J. Liu, and X. Zhou. 2022. Design and testing of an intelligent multi-functional seedling transplanting system. Agronomy 12(11):2683. https:// doi.org/10.3390/agronomy12112683

Zhao, X., D. Cheng, W. Dong, X. Ma, Y. Xiong, and J. Tong. 2022. Research on the end effector and optimal motion control strategy for a plug seedling transplanter. Agronomy 12(7):1680. https://doi.org/10.3390/agronomy12071680.

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Published

2025-10-02

Issue

Vol. 63 No. 3 (2025): Journal of Agricultural Research

Section

Articles

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Copyright (c) 2025 Ibrar Ahmad , Aftab Khaliq, Bushra Saddique, Fiaz Ahmad, Mahmood Ali, Muhammed Shoaib (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

ADVANCES IN AUTOMATION FOR PLUG SEEDLING CULTIVATION AND TRANSPLANTING IN GREENHOUSES: A REVIEW. (2025). Journal of Agricultural Research (JAR) ., 63(3), 257-268. https://doi.org/10.58475/2025.63.3.1168