Bioscience Methods 2026, Vol.17, No.1, 57-66 http://bioscipublisher.com/index.php/bm 62 chemical control can serve as a safeguard, stabilizing the yield while also taking into account environmental and food safety (Gisi et al., 2018; Sparks et al., 2020). 6 Application of Intelligence and Informationization in High-Yield Cucumber Cultivation 6.1 Smart greenhouses and automatic environmental control technology Over the past few years, with the continuous improvement of facilities, the methods of cucumber production have been quietly changing. Entering the smart greenhouse, you will find sensors everywhere in the greenhouse. Temperature, humidity, light, carbon dioxide and other data are collected at any time and then transmitted to the control system. When the temperature rises, the fans and wet curtains start working. At night when it gets cold, it automatically keeps warm. The shading, heating, water and fertilizer supply all operate according to the set program. Managers can operate these systems using computers or mobile phones. As a result, the crops are kept in a relatively stable environment for a long time, and the effects of high or low temperatures are significantly reduced. In practical applications, such systems not only save labor but also improve the efficiency of water, fertilizer and energy utilization, making cucumber yields more stable and providing support for continuous high production (Figure 2) (Shamshiri et al., 2018; Kang et al., 2024). Figure 2 General components of a greenhouse environmental monitoring based in wireless sensor network and IoT concept (Adopted from Shamshiri et al., 2018) 6.2 Application of sensors and big data in cultivation management In the past, when growing cucumbers, judgment was mostly based on experience and intuition. But now, the situation has gradually changed. Sensors installed in greenhouses or fields can continuously monitor changes in soil moisture and nutrients, and record temperature, humidity, and light conditions. In some places, cameras are also used to observe the growth of plants. After these data are centralized on a platform, they are used to arrange watering, fertilization, and environmental regulation. Over time, the historical data accumulates more and more. Which conditions are more conducive to high yield gradually become clearer, and the management plan can also be adjusted accordingly. Continuous monitoring has another advantage. Once an anomaly occurs, it can often be detected in advance, reducing losses. With the continuous improvement of data analysis capabilities, cucumber management is shifting from "based on intuition" to "based on data", with more controllable investment and more stable yields (Wolfert et al., 2017; Liakos et al., 2018). 6.3 Trends of artificial intelligence and precision agriculture Looking ahead, the topic of high-yield cucumber cultivation cannot help but involve artificial intelligence and precision agriculture. With an increasing amount of production data, AI models are starting to identify patterns from this data to assist in regulating greenhouse environments, scheduling fertilization, and even participating in
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