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researcher

Yawei Li

4 papers hereh-index 340 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • q-bio.QM1
same name
  • Yawei Li — 39 papers, h 32
  • Yawei Li — 4 papers, h 3
  • Yawei Li — 3 papers, h 1
  • Yawei Li — 3 papers, h 5
  • Yawei Li — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

q-bio.QM2025

Towards smart canopies: Algorithmic design of maize canopy architectures that maximize light use efficiency

Nasla Saleem, Talukder Zaki Jubery, Yan Zhou +4

We present a computational framework that integrates functional-structural plant modeling (FSPM) with an evolutionary algorithm to optimize three-dimensional maize canopy architect…

cs.CV2025

MaizeField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel

Elvis Kimara, Mozhgan Hadadi, Jackson Godbersen +6

The development of artificial intelligence (AI) and machine learning (ML) based tools for 3D phenotyping, especially for maize, has been limited due to the lack of large and divers…

cs.CV2025

Accessing the Effect of Phyllotaxy and Planting Density on Light Use Efficiency in Field-Grown Maize using 3D Reconstructions

Nasla Saleem, Talukder Zaki Jubery, Aditya Balu +5

High-density planting is a widely adopted strategy to enhance maize productivity, yet it introduces challenges such as increased interplant competition and shading, which can limit…

cs.CV2025

Procedural Generation of 3D Maize Plant Architecture from LIDAR Data

Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen +8

This study introduces a robust framework for generating procedural 3D models of maize (Zea mays) plants from LiDAR point cloud data, offering a scalable alternative to traditional…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.