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Proceedings of the 27th National and 5th International ISHMT-ASTFE Heat and Mass Transfer Conference December 14-17, 2023, IIT Patna, Patna-801106, Bihar, India
December, 14-17, 2023, Bihar, India

Search for suitable artificial surfaces to predict health of a plant

Get access (open in a dialog) DOI: 10.1615/IHMTC-2023.1350
pages 833-838


Thermography using infrared (IR) cameras is a wellknown technique to measure surface temperature across various research areas and in the present work and we used this method to measure the leaf temperature which may act as an indirect indicator of the condition of a plant's health and its response at different water stress levels. In this study, we employed infrared (IR) thermography with a Fluke TiX580 thermal camera to measure leaf surface temperatures, serving as an indirect gauge of plant health responses under varying water stress levels in various plants like tomato. We also examined how these temperatures relate to a set of chosen surfaces and observed that the wilted leaves exhibited temperatures between those of 'yellow dry' and 'red dry' surfaces, while dead leaves closely resembled 'green dry' surfaces. The 'white wet' surface achieved the lowest temperature but we found the 'black wet' surface to be a more appropriate reference for healthy leaves. Surprisingly, healthy leaves exhibited temperatures akin to the 'white dry' surface, a phenomenon requiring further investigation. Keeping real scenarios in mind, we also investigated (a) temperature measurements of leaf upper (adaxial) and lower (abaxial) surfaces under sunlight and (b) temperature variations between sunlit and shaded leaves. In the former case (a), temperature differences ranged from 0.50°C to 1.10°C, while in the latter case (b), they spanned from 4.10°C to 7.10°C across all sunny-day measurements. These findings aim to lay the foundation for a user-friendly field device, SHARAL (Stress and Health Aided Remote Assessment of Leaves), streamlining the assessment of leaf and plant health in practical applications. SHARAL would house a practical scale that would directly assess leaf's health and communicate to the users in future.