ArticleFrontiers in plant science2022
Growth parameter acquisition and geometric point cloud completion of lettuce.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Leveraging time-series point clouds for dynamic crop canopy monitoring: Quantifying phenotypic variability and assessing leaf-level photosynthetic contributions.Plant phenomics (Washington, D.C.) · 2026Article
- MSDDG: Multi-scale dual-discriminator GAN for point cloud completion of plant.Plant phenomics (Washington, D.C.) · 2026Article
- A novel point cloud completion model for three-dimensional reconstruction of complex, dynamic population-level crop canopy architecture.Plant communications · 2026Article
- Deep learning for three-dimensional (3D) plant phenomics.Plant phenomics (Washington, D.C.) · 2025Review
- A method for phenotyping lettuce volume and structure from 3D images.Plant methods · 2025Article
- Multimodal Data Fusion for Precise Lettuce Phenotype Estimation Using Deep Learning Algorithms.Plants (Basel, Switzerland) · 2024Article
- Development of a machine vision-based weight prediction system of butterhead lettuce (Frontiers in plant science · 2024Article
- Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning.Plant phenomics (Washington, D.C.) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The plant factory is a form of controlled environment agriculture (CEA) which is offers a promising solution to the problem of food security worldwide. Plant growth parameters need to be acquired for process control and yield estimation in plant factories. In this paper, we propose a fast and non-destructive framework for extracting growth parameters. Firstly, ToF camera (Microsoft Kinect V2) is used to obtain the point cloud from the top view, and then the lettuce point cloud is separated. According to the growth characteristics of lettuce, a geometric method is proposed to complete the incomplete lettuce point cloud. The treated point cloud has a high linear correlation with the actual plant height (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.