Adapted from https://doi.org/10.48550/arXiv.2404.19513
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上田 翔 (Ueda Sho)
Ph.D. student United Graduate School of Agricultural Sciences, Iwate University, Morioka, Iwate, 020-8550, Japan.
Adapted from https://doi.org/10.48550/arXiv.2404.19513
My recent research has primarily focused on developing machines, systems, and indicators for detecting fertilizer stress in tomato plants using the texture of their leaf surfaces. To quantify the surface texture of the leaves, I use the density of trichomes, which are structures on the leaf surface. Trichome density is known to indicate tomato plant stress, and its effect on fertilizer stress has been investigated in the context of the fertilizer-pest relationship. In this study, I developed a simple and low-cost method for diagnosing the nutritional status of tomato plants by utilizing the natural law that trichome density reflects fertilizer stress. This trichome density-based method has the potential to be a technological breakthrough in detecting fertilizer stress in young tomato leaves, which has previously been considered difficult.
Embedded Microcontrollers and C++ Course for the Internet of Things
A Smartphone-Based Method for Assessing Tomato Nutrient Status through Trichome Density Measurement