Xianju Lu

According to our database1, Xianju Lu authored at least 13 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
YOMASK: An instance segmentation method for high-throughput phenotypic platform lettuce images.
Comput. Electron. Agric., 2025

Exploring phenotypic differences and dynamic associations among lettuce types based on high-throughput phenotyping platform.
Comput. Electron. Agric., 2025

2024
Using high-throughput phenotyping platform MVS-Pheno to decipher the genetic architecture of plant spatial geometric 3D phenotypes for maize.
Comput. Electron. Agric., 2024

Accurate and semantic 3D reconstruction of maize leaves.
Comput. Electron. Agric., 2024

A high-throughput method for monitoring growth of lettuce seedlings in greenhouses based on enhanced Mask2Former.
Comput. Electron. Agric., 2024

Canopy height uniformity: a new 3D phenotypic indicator linking individual plant to canopy.
Comput. Electron. Agric., 2024

2023
An improved YOLOv5 method for clam seedlings biological feature detection under the microscope.
Comput. Electron. Agric., November, 2023

Deep learning models based on hyperspectral data and time-series phenotypes for predicting quality attributes in lettuces under water stress.
Comput. Electron. Agric., August, 2023

2021
Greenhouse-based vegetable high-throughput phenotyping platform and trait evaluation for large-scale lettuces.
Comput. Electron. Agric., 2021

2017
Study on Three-Dimensional Data Acquisition of Crop Grains.
Proceedings of the Computer and Computing Technologies in Agriculture XI, 2017

Multi-scale 3D Data Acquisition of Maize.
Proceedings of the Computer and Computing Technologies in Agriculture XI, 2017

Maize Precision Farming Parallel Management Technology and Its Application in Northeast China.
Proceedings of the Computer and Computing Technologies in Agriculture XI, 2017

The State of Motion Stereo About Plant Leaves Monitoring System Design and Simulation.
Proceedings of the Computer and Computing Technologies in Agriculture XI, 2017


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