John H. Lagergren

This paper compares segmentation methods for plant phenotyping, finding that pretrained vision transformers outperform color thresholding and supervised U-Nets in generalization across species and conditions.

The study examines how climate gradients affect Populus trichocarpa stress responses and microbial communities across different soil niches.

This study uses genome shuffling in Bacillus subtilis to map quantitative trait loci for complex phenotypes, identifying high-confidence QTLs of moderate size.

This study uses automated dendrite tracing and categorization to show that aging and cold shock cause distinct dendritic beading patterns driven by branching history and systemic effects, respectively.

The paper uses explainable AI to predict food shortages in Eastern Australian flying foxes, identifying environmental and bat-level features that predict nutritional stress with high accuracy.

This study identifies key genetic loci associated with stomatal and leaf traits in Populus trichocarpa that contribute to climate adaptation, showing smaller stomata in genotypes from arid regions.

This study identifies natural variation in waterlogging tolerance among pennycress accessions, finding some accessions survive prolonged waterlogging with minimal impact on seed yield.

The paper introduces two methods to standardize root measurement aggregation across multiple scans using image concatenation and statistical analysis, showing they produce consistent results except for median diameter.

The paper identifies high-resolution environmental zones and predicts longitudinal climatic processes using vector comparison and network analysis methods.