ArticlePlant phenomics (Washington, D.C.)2023
A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt.
Article in Plant phenomics (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Early screening of salt-tolerant and high-yielding rice varieties via cost-effective UAV data.Plant phenomics (Washington, D.C.) · 2026Article
- CSSL-based GWAS identifies SNPs and candidate genes associated with Verticillium wilt resistance in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods.Frontiers in plant science · 2025Article
- Inhibition ofJournal of microbiology and biotechnology · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Verticillium wilt is one of the most critical cotton diseases, which is widely distributed in cotton-producing countries. However, the conventional method of verticillium wilt investigation is still manual, which has the disadvantages of subjectivity and low efficiency. In this research, an intelligent vision-based system was proposed to dynamically observe cotton verticillium wilt with high accuracy and high throughput. Firstly, a 3-coordinate motion platform was designed with the movement range 6,100 mm × 950 mm × 500 mm, and a specific control unit was adopted to achieve accurate movement and automatic imaging. Secondly, the verticillium wilt recognition was established based on 6 deep learning models, in which the VarifocalNet (VFNet) model had the best performance with a mean average precision (
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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 OpenQuestion graph.