Growth Monitoring

Growth monitoring encompasses the automated tracking and analysis of growth patterns in diverse systems, from plants and animals to tumors and social networks. Current research heavily utilizes computer vision and machine learning, employing deep learning models like convolutional neural networks (CNNs) and YOLO architectures for image analysis and growth prediction, often coupled with advanced algorithms like genetic algorithms and fuzzy logic for optimization and data management. These advancements enable more efficient and accurate growth assessments across various fields, improving agricultural practices, healthcare diagnostics, and our understanding of complex systems' dynamics.