A Review on Identification of Plant Leaf Image Classification Using Machine Learning Algorithms

Generaly, plants posseses great medical benefits that are tremendously diverse and complex to identify the species. There are different varieties of plants that are yet to be fully explored. The plants are made up of some essential parts that are needed for their survival such as root, flowers, leaves, shoot and others which often appear to be alike with each other plants. This makes manual sorting of plants more difficult for botanists. Concurrently, image processing performs some operations, by extracting useful informations from the image for human interpretation. The resulted dataset from image processing method is then classified by ML (Machine Learning) classifiers. The existing methods have focussed on several dimensions, hence this study provides an overall view on the conventional works of plant species identification and its related plant health. This study initiated by a purpose to give a precise review about the advancements in image processing like segmentation methods, feature extraction techniques and ML based models for the identification of plant species and diseases with its leaf because that can be available at all the time.Hence, this study discuss the current research between (2019-2024) related to the use of image processing and ML and DL techniques for effective image quality enhancement and plant identification performance. Moreover, it discusses unique contribution in the fileld such as agriculture and ayurveda. Moreover, a comparatively analysis is carried out by considering the conventional ML models and varied applications of widely used ML models for effective classification of plant species.