Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Botanists study in general the characteristics of leaves to give to each plant a scientific name; such as shape, margin...etc.  proposes a comparison of supervised plant identification using different approaches. The identification is done according to three different features extracted from images of leaves: a fine-scale margin feature histogram, a Centroid Contour Distance Curve shape signature and an interior texture feature histogram. First represent each leaf by one feature at a time in, then represent leaves by two features, and each leaf was represented by the three features. After that, the authors classified the obtained vectors using different supervised machine learning techniques; the used techniques are Decision tree, NaA¯ve Bayes, K-nearest neighbour, and neural network. Finally, they evaluated the classification using cross validation. The main goal of this work is studying the influence of representation of leaves' images on the identification of plants, and also studying the use of supervised machine learning algorithm for plant leaves classification.
['Mohamed Elhadi Rahmani', 'Abdelmalek Amine', 'Reda Mohamed Hamou']
I am writing a research paper on a idea Supervised Machine Learning for Plants Identification Based on Images of Their Leaves
[{"from": "human", "value": "I am writing a research paper on a idea Supervised Machine Learning for Plants Identification Based on Images of Their Leaves"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Botanists study in general the characteristics of leaves to give to each plant a scientific name; such as shape, margin...etc.  proposes a comparison of supervised plant identification using different approaches. The identification is done according to three different features extracted from images of leaves: a fine-scale margin feature histogram, a Centroid Contour Distance Curve shape signature and an interior texture feature histogram. First represent each leaf by one feature at a time in, then represent leaves by two features, and each leaf was represented by the three features. After that, the authors classified the obtained vectors using different supervised machine learning techniques; the used techniques are Decision tree, NaA\u00afve Bayes, K-nearest neighbour, and neural network. Finally, they evaluated the classification using cross validation. The main goal of this work is studying the influence of representation of leaves' images on the identification of plants, and also studying the use of supervised machine learning algorithm for plant leaves classification."}]