Russet Potato Clone

Research on Russet potato clones focuses on improving yield prediction, disease detection, and variety selection through advanced image analysis and machine learning. Current efforts utilize deep learning architectures like convolutional neural networks (CNNs), including DenseNet and ResNet variations, along with generative adversarial networks (GANs) for data augmentation and 3D shape completion techniques for yield estimation from harvester imagery. These advancements aim to optimize potato cultivation practices, enhance disease management, and streamline breeding programs for increased efficiency and cost savings in agriculture.