Survey on Identification of Medical Plant Tec...

Survey on Identification of Medical Plant Techniques

Author Name : Utkarsh Pangle, Prof. A. S. Bhide

DOI: https://doi.org/10.56025/IJARESM.2022.101023

ABSTRACT

On earth, plants significantly impact both human and non-human life. Plants exert the most significant impact on the natural cycle. Due to the increased sophistication of new plant discoveries and plant computerization, plant identification in biology and agriculture is particularly challenging. Automatic plant categorization systems must be implemented for various purposes, such as environmental preservation, plant resource evaluation, and education. The leaves are thought to be what distinguish medicinal plants. The automatic identification of plant species using photographs of their leaves is an intriguing goal because taxonomists lack adequate training, and biodiversity is quickly declining in the current environment. The most critical stage in the hand manufacture of medication is choosing the correct plant.The necessity for mass manufacturing makes the identification of these plants instantly essential. Humans' physical and mental health is vital for the development of medications. It's critical to recognize and categorize medicinal plants for better treatment. It is difficult to correctly identify and categorize medicinal plants because there aren't many professionals in this field. Therefore, a completely automated method is ideal for classifying medicinal plants. The numerous models for recognizing medicinal plants by considering the shape and texture of a plant leaf are briefly reviewed in this article.

Keywords: Medical plant, Plant leaf, Machine Learning, Deep Learning, Image Processing