pp. 1139-1151
S&M3977 Research Paper of Special Issue https://doi.org/10.18494/SAM5065 Published: March 31, 2025 Vertical Smart Greenhouse Planting System [PDF] Chiung-Hsing Chen, Yi-Chen Wu, and Jin-Wei Xu (Received April 4, 2024; Accepted March 10, 2025) Keywords: intelligent greenhouse, machine vision, wireless transmission
In this study, we take the cultivation of orchids as an example. We aim to design an organically grown and intelligent greenhouse system to help farmers reduce labor costs and improve efficiency by combining technology and agriculture in severe planting environments or workforce shortages. The architecture of this system includes an intelligent greenhouse, machine vision, and wireless transmission. With vertical agriculture as the main body of the greenhouse, embedded systems adjust the greenhouse environment and establish a human–machine interface. Users can alter the environment according to different crops and their own needs. Vertical farming is a method of growing crops vertically on top of each other. Through the shelf structure of vertical agriculture, a customized track is established. A mobile camera is mounted on the track and combined with machine vision technology to design an instant pest detection system. When pests are found in agricultural products during their growth, organic pest control products are used to eliminate them.
Corresponding author: Yi-Chen Wu![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Chiung-Hsing Chen, Yi-Chen Wu, and Jin-Wei Xu, Vertical Smart Greenhouse Planting System, Sens. Mater., Vol. 37, No. 3, 2025, p. 1139-1151. |