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Development of IoT Cloud Platform Based Intelligent Raising System for Rice Seedlings

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Abstract

Precision agriculture is an important way to maximize the utilization efficiency of water resources and minimize the environmental impact. In recent years, the centralized raising of rice seedlings in greenhouse has been vigorously promoted and applied in many countries and regions to meet the requirements of large-scale mechanized transplanting for quality and quantity of rice seedlings. An intelligent raising system, which is based on Internet of things (IoT) cloud platform, is presented for rice seedlings in greenhouse. The system can provide suitable temperature and rice nursery moisture for rice seedlings according to three different growth stages by comprehensively using IoT and intelligent control technology. The influence of high temperature or water shortage on growth of rice seedlings is avoided. In order to save limited water resources, SVR algorithm is presented to predict the operation duration of actuators. The feasibility and effectiveness of the intelligent raising system are verified by corresponding tests. Field tests show that the intelligent system can maintain the temperature and rice nursery moisture in greenhouse suitable for the growth of rice seedlings by controlling cooling or sprinkler irrigation. Even if the outdoor temperature is as high as 33 centigrade degrees, the irreversible damage to rice seedlings caused by extreme high temperature can be avoided. In the entire growth process of rice seedlings, 47.2% water can be saved by using the intelligent raising system. In addition, the system has the advantages of low cost, easy operating, saving labor and short growth cycle of rice seedlings.

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Funding

This work has been partially supported by the National Natural Science Foundation of China (No.31800358), Jiangsu Agricultural Science and Technology Innovation Fund (No.CX(19)3099).

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Authors and Affiliations

  1. School of Information Engineering, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, 212400, China

    Xiang Feng, Fang Yan, XiaoYu Liu & Qiyou Jiang

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  1. Xiang Feng
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  2. Fang Yan
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Correspondence to Xiang Feng or XiaoYu Liu.

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Feng, X., Yan, F., Liu, X. et al. Development of IoT Cloud Platform Based Intelligent Raising System for Rice Seedlings. Wireless Pers Commun 122, 1695–1707 (2022). https://doi.org/10.1007/s11277-021-08967-2

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  • DOI: https://doi.org/10.1007/s11277-021-08967-2

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