Plant Leaf

Plant leaf research currently focuses on automating analyses crucial for agriculture and plant science, leveraging advancements in computer vision and machine learning. Key areas include disease detection using convolutional neural networks (CNNs), precise leaf segmentation via transformer-based models, and quantitative assessment of leaf characteristics like color and venation patterns using deep learning algorithms. These advancements enable efficient monitoring of plant health, improved crop yield estimations, and optimized resource management in agriculture, impacting both scientific understanding and practical applications.