Butterfly Classification Using CNN

The most significant creature in the ecology is the butterfly. The relationship between plants and butterflies is essential for supporting many ecosystem processes. They are occasionally referred to as flying flowers or blooms of many hues. Butterflies play a significant role in pollination. The population of this lovely species is in decline as a result of numerous human actions, including the use of pesticides on plants, habitat degradation, and a lack of understanding of the importance of butterflies to the ecosystem. This study continues an exploration into classifying butterflies using image processing and deep learning techniques. The outward morphological characteristics (structure) and genital characteristics of butterflies can be used to classify them. There are many different kinds of butterflies, and research into the species categorization of butterflies is very important for practical tasks like environmental preservation and pest management for farms and forests. However, because there are so many different varieties and designs, it is necessary to divide them according to type to make recognition easier. Several machine learning techniques, such as classical machine learning, deep learning, and transfer learning, are used to achieve the best response by training and testing on a butterfly dataset. This programme can identify a butterfly's category by capturing a real-time picture of it or choosing an image from a gallery.