A Personalized and Smart Flowerpot Enabled by 3D Printing and Cloud Technology for Ornamental Horticulture
Author:
Li Yecheng1, Luo Jiaxing1ORCID, Liu Zixuan1, Wu Daosheng1, Zhang Cheng1
Affiliation:
1. College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Abstract
This paper presents a personalized and smart flowerpot for ornamental horticulture, integrating 3D printing and cloud technology to address existing design limitations and enable real-time monitoring of environmental parameters in plant cultivation. While 3D printing and cloud technology have seen widespread adoption across industries, their combined application in agriculture, particularly in ornamental horticulture, remains relatively unexplored. To bridge this gap, we developed a flowerpot that maximizes space utilization, simplicity, personalization, and aesthetic appeal. The shell was fabricated using fused deposition modeling (FDM) in 3D printing, and an Arduino-based control framework with sensors was implemented to monitor critical growth factors such as soil moisture, temperature, humidity, and light intensity. Real-time data are transmitted to the Bamfa Cloud through Wi-Fi, and a mobile application provides users with instant access to data and control over watering and lighting adjustments. Our results demonstrate the effectiveness of the smart flowerpot in enabling automated monitoring of plant growth and environmental control. This innovation holds significant promise for advancing smart device development in ornamental horticulture and other related fields, enhancing efficiency, plant health, and overall user experience. Future research in this area has the potential to revolutionize horticultural practices and contribute to the advancement of smart agriculture.
Funder
Jiangsu Agricultural Science and Technology Innovation Fund Fundamental Research Funds for the Central Universities China Postdoctoral Science Foundation
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference55 articles.
1. Technology: The future of agriculture;King;Nature,2017 2. Cao, P., Zhao, Y., Wu, F., Xin, D., Liu, C., Wu, X., Lv, J., Chen, Q., and Qi, Z. (2022). Multi-omics techniques for soybean molecular breeding. Int. J. Mol. Sci., 23. 3. Precise plant breeding using new genome editing techniques: Opportunities, safety and regulation in the EU;Hartung;Plant J.,2014 4. Hasan, N., Choudhary, S., Naaz, N., Sharma, N., and Laskar, R.A. (2021). Recent advancements in molecular marker-assisted selection and applications in plant breeding programmes. J. Genet. Eng. Biotechnol., 19. 5. Oladosu, Y., Rafii, M.Y., Samuel, C., Fatai, A., Magaji, U., Kareem, I., Kamarudin, Z.S., Muhammad, I.i., and Kolapo, K. (2019). Drought resistance in rice from conventional to molecular breeding: A review. Int. J. Mol. Sci., 20.
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