Leaf Image-Based Plant Identification Using Morphological Feature Extraction

A digital-based automated method for identifying plants is presented in this research. The leaf is chosen to gain the characteristics of the plant out of all the available plant parts. Digital image processing methods are used to determine five geometrical characteristics. Six fundamental morphological traits are derived based on these geometrical factors. Leaf structure is used to extract the vein feature, which is a derived feature. Digital scanners are used to capture leaf photos at the first stage. The retrieved morphological traits are then used as input in the classification stage, which follows. The suggested algorithm's recognition accuracy is evaluated. This algorithm's accuracy has been evaluated against two separate databases and compared. For both databases, the false acceptance ratio and false rejection ratio are computed. This method is used to classify 12 different types of plants. Dataset has 92 photos of 12 different plants. Because it is independent of leaf age, this technique employs an efficient algorithm utilized for plant identification and categorization. The suggested approach is quick and simple to use.