Appropriate Tealeaf Harvest Timing Determination Based on NIR Images

机译：基于近红外图像的适当Tealeaf收获时间确定

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Kohei Arai; Yoshihiko Sasaki; Shihomi Kasuya; Hideto Matusura;
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1. Appropriate Tealeaf Harvest Timing Determination Based on NIR Images [J] . Kohei Arai, Yoshihiko Sasaki, Shihomi Kasuya, International Journal of Information Technology and Computer Science . 2015,第7期

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2. SSC and pH for sweet assessment and maturity classification of harvested cherry fruit based on NIR hyperspectral imaging technology [J] . Postharvest Biology and Technology . 2018,第期

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3. Development of image based modeling for determination of oil content and days estimation for harvesting of fresh fruit bunches. [J] . Mohd. Hudzari Razali, Wan Ishak W. I., Abdul Rahman Ramli, International journal of food engineering . 2009,第2期

机译：基于图像的模型开发，用于确定含油量和估计新鲜水果束的收获天数。
4. NIR calibration model updating based on slope/intercept analysis: A case study on firmness determination of pears harvested in different years [C] . Xiaping Fu, Yibin Ying, Huirong Xu Annual International Meeting of the American Society of Agricultural and Biological Engineers . 2009

机译：基于斜率/截距分析的纳拉校准模型更新 - 以不同年份收获的梨子的坚固案例研究
5. Study of NIRS based motor cortex activation patterns in cerebral palsy affected kids using image based metrics. [D] . Asanani, Nayan. 2008

机译：使用基于图像的指标研究脑瘫患儿基于NIRS的运动皮质激活模式。
6. Development of a multi-channel NIRS-USG hybrid imaging system for detecting prostate cancer and improving the accuracy of imaging-based diagnosis: a phantom study [O] . Heejin Bae, Seung-seob Kim, Seungsoo Lee, 2019

机译：用于检测前列腺癌和提高基于影像的诊断准确性的多通道NIRS-USG混合成像系统的开发：一项幻像研究
7. Appropriate Tealeaf Harvest Timing Determination Referring Fiber Content in Tealeaf Derived from Ground based Nir Camera Images [O] . Kohei Arai, Yoshihiko Sasaki, Shihomi Kasuya, 2015

机译：适当的Tealeaf收获时间测定参考基于地面Nir相机图像的Tealeaf中的纤维含量
8. Concurrent EEG And NIRS Tomographic Imaging Based on Wearable Electro- Optodes [R] . Duann, J, Jung, T, Chiou, J 2014

机译：基于可穿戴电光源的并发脑电图和近红外层析成像

Appropriate Tealeaf Harvest Timing Determination Based on NIR Images

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