Intra Specie Differentiation

Intraspecies differentiation focuses on distinguishing between individuals within the same species, a crucial task across diverse fields like ecology, medicine, and agriculture. Current research employs machine learning, particularly deep learning architectures such as convolutional neural networks (CNNs), transformers, and recurrent neural networks (RNNs), often combined with hyperspectral and multispectral imaging data, to classify individuals based on visual features, genetic sequences, or protein interaction networks. These advancements enable more efficient and accurate species-level mapping, behavioral analysis, and disease detection, improving ecological monitoring, livestock management, and biomedical research.