ArticleFrontiers in plant science2022
Research on weed identification method in rice fields based on UAV remote sensing.
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 10 papers.
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10 citing papers in PubMed, 29 citations in OpenAlex.
- Breeding of glyphosate-tolerant genetically modified rice BriA15-38.GM crops & food · 2026Article
- UAV Multispectral Remote Sensing for Rice Leaf Blast Severity Grading Using an Improved 1DCNN-Transformer Ensemble Model.Plants (Basel, Switzerland) · 2026Article
- A Review of Robotic Weeding Modalities for Site-Specific Weed Management.Sensors (Basel, Switzerland) · 2026Review
- Macroscopic anomaly detection in paddy fields from UAV perspectives: a frequency-aware spatiotemporal mamba approach.Frontiers in plant science · 2026Article
- Intelligent identification method for rice seedling growth stages and its application in laser supplementary lighting control research.Scientific reports · 2025Article
- Deep learning-based temporal change detection of broadleaved weed infestation in rice fields using UAV multispectral imagery.Frontiers in plant science · 2025Article
- Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Frontiers in plant science · 2025Article
- Proximal hyperspectral detection of rice and weed: characterization and discriminant analysis.Frontiers in plant science · 2025Article
- Sensing and Perception in Robotic Weeding: Innovations and Limitations for Digital Agriculture.Sensors (Basel, Switzerland) · 2024Review
- YOLOv8-RMDA: Lightweight YOLOv8 Network for Early Detection of Small Target Diseases in Tea.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice is the world's most important food crop and is of great importance to ensure world food security. In the rice cultivation process, weeds are a key factor that affects rice production. Weeds in the field compete with rice for sunlight, water, nutrients, and other resources, thus affecting the quality and yield of rice. The chemical treatment of weeds in rice fields using herbicides suffers from the problem of sloppy herbicide application methods. In most cases, farmers do not consider the distribution of weeds in paddy fields, but use uniform doses for uniform spraying of the whole field. Excessive use of herbicides not only pollutes the environment and causes soil and water pollution, but also leaves residues of herbicides on the crop, affecting the quality of rice. In this study, we created a weed identification index based on UAV multispectral images and constructed the
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