Polyaniline-based sensor for real-time plant growth monitoring
Polyaniline-based sensor for real-time plant growth monitoring
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用于实时植物生长监测的聚苯胺传感器
DOI：
10.1016/j.sna.2023.114319
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Prasad, Anamika
中科院分区：
文献类型：
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作者：
Borode, Temitope;Wang, Danling;Prasad, Anamika
当今和未来农业对精准农业的需求怎么强调都不为过。最近的农业面临着许多挑战，如环境压力和资源限制，导致作物产量低和不可持续的农业做法。了解植物在外界影响下的生长机制和生长速率，是开展精准农业实践、确保最佳产量和资源可持续利用的基础。目前的研究通过开发和应用一种价格合理且稳定的监测植物生长的传感器来解决这一需求。该传感器采用原位化学聚合法制备苯胺在弹性带基板上浸涂。利用光学成像和傅里叶变换红外光谱（FTIR）对传感器进行了表征，对传感器进行了应变传感标定，并对其在循环载荷和温度变化下的稳定性进行了分析。应用于向日葵和大豆茎部时，该传感器检测到向日葵茎部在黑暗周期生长较快，而大豆茎部在光照和黑暗周期均连续生长。在这些植物上观察到的生长速度和生长模式与现有植物生长信息之间的相似性表明，传感器适合于这种植物健康精确测量，并表明朝着发展农业精确传感能力迈出了一步。
The need for precision agriculture in today and future farming cannot be overstressed. Recent agriculture is characterized by numerous challenges such as environmental stressors and resource constraints resulting in low crop yield and unsustainable agriculture practices. Understanding plant growth mechanism and growth rate under the external influence is a bedrock towards precision agriculture practices ensuring optimum yield and sustainable utilization of resources. The current study addresses this need by developing and applying an affordable and stable sensor for monitoring plant growth. The sensor was fabricated by in-situ chemical polymerization of aniline on an elastic band substrate by dip coating. The sensor was characterized using optical imaging and Fourier-transformed infrared spectroscopy (FTIR), calibrated for strain sensing, and its stability was analyzed under cycling loading and temperature variations. When applied to sunflower and soybean stems, the sensor detected a rhythmic growth pattern with higher growth during the dark cycle in sunflower plants but a continuous growth for both the light and dark cycle for soybean. The similarities between growth rate and growth pattern observed on these plants with available information on plant growth indicate the fitness of the sensor for such precision measurement for plant health and suggest a step towards the development of precision sensing capability for agriculture.