Recognizing plant

In comparison with the conventional approach for classification of plant using comparison of shape and colour of leaves machine learning can give exact and faster results by analysing the leaf vein morphology which provides additional information about characteristics of leaf. The foremost objective is the automatic recognition and categorization of different plant varieties so as to evade the human expertise and also to minimize the categorization time.

• Grinblat et al. (2016) used deep convolution network for the problem of plant identification using leaf vein patterns. They considered three legume species of white bean, red bean and soya bean leaf vein patterns, where vein morphology was used to get the information of the leaf. It is one of the major tools for plant identification in comparison with colour and shape.
• Weiss et al. (2010) modelled a methodology to differentiate the species of plant using a low-​resolution three-​dimensional lidar sensor. The authors have modelled a feature set having common statistical features being independent of plant size. The classifiers have been trained and compared in this model with the feature set that shows high efficiency in identification.