Plant Detection Using Unmanned Drone via Convolution Neural Network

Abstract

Plants are essential resources for nature and people’s lives. Plant recognition provides valuable information for plant research and development, and has great impact on environmental protection and exploration. Species knowledge is important for shielding biodiversity. The identification of plants by conventional keys is complex, time consuming, and thanks to the utilization of specific botanical terms frustrating for non-experts. This creates a tough to beat hurdle for novices curious about acquiring species knowledge. Today, there's an increasing interest in automating the method of species identification. Convolutional neural networks are a well-liked realm of machine learning, and are often used for image classification, as during this paper.