ArticleFrontiers in plant science2020
Identification of Weeds Based on Hyperspectral Imaging and Machine Learning.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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
13 citing papers in PubMed, 74 citations in OpenAlex.
- Handheld hyperspectral imaging dataset of annual sowthistle and little mallow under abiotic stress for machine learning.Data in brief · 2026Article
- Weed Species Identification Using Hyperspectral Imaging and Machine Learning.Plants (Basel, Switzerland) · 2026Article
- Assisting species differentiation and taxonomic classification by hyperspectral imaging: an example from the parasitic plant realm.Plant methods · 2026Article
- DCC-YOLOv8n: a lightweight model for maize seedling and weed recognition in complex farmland environments.Frontiers in plant science · 2026Article
- Harnessing hyperspectral imaging and machine learning techniques for accurate discrimination of peanut plants and weeds.Scientific reports · 2025Article
- Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field.Frontiers in plant science · 2025Article
- Harnessing UAVs and deep learning for accurate grass weed detection in wheat fields: a study on biomass and yield implications.Plant methods · 2024Article
- Multi-Class Weed Recognition Using Hybrid CNN-SVM Classifier.Sensors (Basel, Switzerland) · 2023Article
- Plant optics: underlying mechanisms in remotely sensed signals for phenotyping applications.AoB PLANTS · 2023Review
- Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm.Plant methods · 2023Article
- Fungi Classification in Various Growth Stages Using Shortwave Infrared (SWIR) Spectroscopy and Machine Learning.Journal of fungi (Basel, Switzerland) · 2022Article
- Editorial: Spectroscopy for crop and product phenotyping.Frontiers in plant science · 2022Article
- YOLOX-based blue laser weeding robot in corn field.Frontiers in plant science · 2022Article
Corrections and comments
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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
Weeds can be major environmental and economic burdens in New Zealand. Traditional methods of weed control including manual and chemical approaches can be time consuming and costly. Some chemical herbicides may have negative environmental and human health impacts. One of the proposed important steps for providing alternatives to these traditional approaches is the automated identification and mapping of weeds. We used hyperspectral imaging data and machine learning to explore the possibility of fast, accurate and automated discrimination of weeds in pastures where ryegrass and clovers are the sown species. Hyperspectral images from two grasses (
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What OpenQuestion holds
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.