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Can we water crops with our phones? Smartphone technology application to infrared thermography for use in irrigation management

机译:我们可以用手机饮水吗? 智能手机技术应用于红外热成像,用于灌溉管理

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Infrared thermography has been used to assess plant transpiration and infer stress levels in different agricultural production systems. The development of low cost infrared cameras adapted to smart phones provides an opportunity to develop applications that would allow growers to monitor crop water status. We explored the capabilities of this system by assessing the response of crop water stress index (CWSI) to treatments differing in irrigation frequency. Soya bean plants were grown in pots in a glasshouse and different irrigation treatments were applied for two weeks. CWSI, stomatal conductance (gs) and biomass growth were compared in fully irrigated (FI), deficit irrigation (50% ET) applied either at high (HFDI) and low (LFDI) frequency. Statistical differences in CWSI between deficit irrigation and FI treatments were observed when CWSI>0.5. CWSI and gs followed very similar patterns in all treatments, but the higher number of replicates that the thermal camera could measure in a given time andits low variability compared to the porometer increased the capacity to detect differences between treatments. As gs decreased at the end of the experiment in FI plants, probably because of restricted soil volume, differences in CWSI between well-wateredand stressed plants diminished, suggesting the need to maintain well-watered plants grown under optimal conditions as a reference baseline. Within the deficit irrigation treatments, CWSI decreased and gs, increased when irrigation was more frequent, butdry biomass and water use efficiency (biomass/irrigation volume) did not change, and were lower and higher than FI plants respectively. These results demonstrate that the low cost thermal camera is suitable to rapidly assess gs, but highlight the issuesassociated with irrigation scheduling based on this physiological response.
机译:红外热成像已被用于评估不同农业生产系统中的植物蒸腾和推断压力水平。适用于智能手机的低成本红外摄像机的开发为开发允许种植者监测农作物的应用程序提供了机会。我们通过评估作物水分应激指数(CWSI)对灌溉频率不同的处理来探讨该系统的能力。大豆植物在玻璃盆中的盆中种植,并施加了不同的灌溉治疗两周。在完全灌溉(FI),在高(HFDI)和低(LFDI)频率的完全灌溉(FI),缺陷灌溉(50%ET)中比较CWSI,气孔导电(GS)和生物质生长。当CWSI> 0.5时,观察到缺陷灌溉和方法之间CWSI之间的统计差异。 CWSI和GS在所有处理中遵循非常相似的模式,但是热相机在给定的时间内测量的更高数量的复制和与比力计相比的低可变性增加了检测治疗之间的差异的能力。由于GS在实验结束时减少,可能由于土壤体积限制,井水良好的植物之间的CWSI差异减少,表明需要在最佳条件下保持浇水的植物作为参考基线。在缺陷灌溉处理中,CWSI减少和GS,当灌溉更频繁时增加,但是,Butdry生物量和水使用效率(生物质/灌溉体积)没有变化,分别较低,高于植物。这些结果表明,低成本的热相机适合于快速评估GS,但基于这种生理反应,突出了灌溉调度的问题分配。

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