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Journal of Agriculture ›› 2025, Vol. 15 ›› Issue (7): 57-64.doi: 10.11923/j.issn.2095-4050.cjas2024-0095

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Design and Application of Soilless Cultivation System in Smart Agriculture Based on AIoT

LIN Hai(), HUANG Duhui, LI Jingguo   

  1. AI Master Studio of Department of Information Science, Zhanjiang Preschool Education College, Zhanjiang Guangdong 524084
  • Received:2024-05-08 Revised:2024-09-05 Online:2025-07-20 Published:2025-07-18

Abstract:

In response to the pressing challenges of land resource scarcity, climate change, and environmental pollution, this study designs an AIoT-based smart soilless cultivation system that integrates soilless cultivation with modern information technology. The system aims to overcome the limitations of traditional agriculture and promote the development of agricultural automation, intelligence, and precision management. This system incorporates Internet of Things (IoT) sensing, computer vision, big data analytics, and machine learning technologies. It employs multi-source heterogeneous data fusion to analyze crop growth conditions, utilizes artificial intelligence algorithms for intelligent greenhouse environment regulation, and enables remote visual monitoring through web and mobile interfaces. The entire system is highly integrated in terms of hardware and software on the Jetson nano platform, offering excellent parallel computing capabilities and scalability. Experimental results demonstrate that, compared to the manually managed control group, vegetables under the intelligent regulation exhibited a 15.4% shorter growth cycle, a 17.0% increase in plant height, a 26.7% increase in leaf count, and a 27.4% improvement in plant weight. Additionally, the remote control interface proved to be convenient and efficient, validating the system's outstanding performance in promoting the modernization of soilless agricultural cultivation. This system provides robust technical support for the development of precision agriculture and has the potential to drive modern agriculture towards sustainable, efficient, and environmentally friendly development.

Key words: soilless cultivation, smart agriculture, Internet of Things, artificial intelligence, big data analysis, AIoT