M. Pound

CNN based Heuristic Function for A* Pathfinding Algorithm: Using Spatial Vector Data to Reconstruct Smooth and Natural Looking Plant Roots

This paper improves root reconstruction by incorporating root angle information into pathfinding algorithms, enhancing separation of clustered roots.

PhenomNet: Bridging Phenotype-Genotype Gap: A CNN-LSTM Based Automatic Plant Root Anatomization System.

PhenomNet is a CNN-LSTM system that segments plant roots and classifies accessions, achieving high accuracy in phenotype and genotype analysis.

RootNet: A Convolutional Neural Networks for Complex Plant Root Phenotyping from High-Definition Datasets

RootNet is a CNN model for high-accuracy root segmentation in plant phenotyping, designed to handle thin roots and high-resolution images using a patch-based training approach.