Plant-level phenotyping of maize aerial root tiers from field video using occlusion-aware multi-frame fusion
2026Li, Y., et al.
Computers and Electronics in Agriculture (Q1) — revise-and-resubmit recommended; in revision
Aerial roots are counted by hand, and counting them from video is unreliable: the roots overlap, occlude each other, and change appearance between frames. This work treats a sequence of captures as evidence rather than as one noisy observation. A cascade — EfficientNet-B3 for tier classification, YOLOv10 for detection, and an occlusion-aware multi-frame fusion step — lifted accuracy from under 50% to 88.9% over a structured set of more than ten thousand plants.
修改中revising第一作者first author
The interaction between genetic loci and photothermal variation shape maize reproductive adaptation
2026…, Li, Y., et al.
New Phytologist (Q1, impact factor 8.7) · under review
How much of maize reproductive adaptation is explained by genotype, how much by the photothermal environment a line is grown in, and how much by the interaction between the two.
在审under review第八作者eighth author
MMEA: multi-model evidence aggregation for genome-wide association studies
2026…, Li, Y., et al.
In preparation
A genome-wide association study is normally run with one model and one set of assumptions. MMEA asks what happens when several models are treated as independent lines of evidence and then aggregated, rather than one of them being picked as the winner.
撰写中in preparation第六作者sixth author