دانلود و نمایش مقالات مرتبط با Leaf geometry::صفحه 1
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نتیجه جستجو - Leaf geometry

تعداد مقالات یافته شده: 1
ردیف عنوان نوع
1 A prediction of leaf mechanical properties with data mining
پیش بینی خواص مکانیکی برگ با داده کاوی-2019
The mechanical properties of the leaf are typically determined by mechanical testing approaches to study the leaf lifespan, plant anti-herbivore defences and ecological functions by considering habitat influences, environmental resources variation and species diversity. While the leaf morphology features were commonly used for plant recognition and plant disease detection with the aid of an automated inspection system. However, the influence of morphology features on leaf mechanical properties is vague. In this research, we investigated the effect of various morphological features on mechanical properties of leaf, followed by proposed a novel leaf mechanical properties prediction model using data mining techniques. A 600×22 feature vector was collected and examined using Pearson correlation analysis and Welch’s test to select the relevant features. The prediction on four mechanical properties indicators was performed with LinearRegression, KStar, DecisionTable and M5P algorithms in the Waikato Environment for Knowledge Analysis (WEKA). The experimental results show that numeric prediction for Tearing Force (FT) and Tearing Strength (ST) (RRSE ≈ 25%) were about two folds better as compared to Work-to-tear (WT) and Specific Work-to-tear (SWT) (RRSE≈50%) in four algorithms tested. The best results achieved was the FT indicator prediction with M5P algorithms (RRSE=23.12%). FT indicator prediction model adopted from M5P algorithms output was constructed.
Keywords: Data mining | Leaf geometry | Leaf morphology | Regression
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