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用机器视觉和机器学习算法预测玉米核的断裂率

Chenlong Fan1, Wenjing Wang1, Tao Cui2

  • 1College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.

Foods (Basel, Switzerland)
|January 8, 2025
PubMed
概括

本研究介绍了一种机器视觉和机器学习方法,用于快速在线检测破碎的玉米粒. 这种方法可以准确预测核损伤率,防止收获期间的真菌污染.

关键词:
破碎的利率率是什么意思机械收割机 机械收割机 机械收割机检测 检测 检测 检测 检测图像处理是图像处理的过程.玉米粒玉米粒的种子

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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