ArticleSensors (Basel, Switzerland)2021
An Instance Segmentation-Based Method to Obtain the Leaf Age and Plant Centre of Weeds in Complex Field Environments.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Spotlight on challenges and novel methods in highly multiplexed tissue imaging-based spatial proteomics.Journal of translational medicine · 2026Review
- Class imbalance aware deep semantic segmentation framework for weed and tobacco crops in UAV imagery.Frontiers in artificial intelligence · 2026Article
- FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection.Plant phenomics (Washington, D.C.) · 2025Article
- Research on weed identification in soybean fields based on the lightweight segmentation model DCSAnet.Frontiers in plant science · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leaf age and plant centre are important phenotypic information of weeds, and accurate identification of them plays an important role in understanding the morphological structure of weeds, guiding precise targeted spraying and reducing the use of herbicides. In this work, a weed segmentation method based on BlendMask is proposed to obtain the phenotypic information of weeds under complex field conditions. This study collected images from different angles (front, side, and top views) of three kinds of weeds (
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