Plant Identification

Plant identification research focuses on developing automated systems for identifying plant species and their characteristics, primarily using image-based approaches. Current efforts concentrate on improving the accuracy and efficiency of deep learning models, including convolutional neural networks and transformers, often incorporating multimodal data (e.g., images from multiple plant organs, spectral data) and advanced techniques like knowledge distillation and low-rank approximations to enhance performance and reduce computational costs. These advancements have significant implications for precision agriculture, biodiversity monitoring, and ecological research by enabling large-scale, automated plant surveys and facilitating more efficient crop management.