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Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Threshold Selection Method from Gray-Level Histograms
inferredcites →https://doi.org/10.1111/j.1365-3180.2007.00553.xopenalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1365-3180.2010.00829.xopenalex-snapshot
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Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.21203/rs.3.rs-190740/v1openalex-snapshot
The Preliminary Study on Bare Spots Under Populus Euphratica Canopy
inferred← citeshttps://doi.org/10.2139/ssrn.5348321openalex-snapshot
Mapping Post-Crop Biomass for Grazing in Alessandria Province, Nw Italy: Moving Towards Sustainable Agriculture Through the Support of Remote Sensing
inferred← citeshttps://doi.org/10.2174/1574893614666190204150109openalex-snapshot
A Similarity Searching System for Biological Phenotype Images Using Deep Convolutional Encoder-decoder Architecture
inferred← citeshttps://doi.org/10.22533/at.ed.052232601openalex-snapshot
Detecção e classificação de doenças e pragas da soja usando imagens de veículos aéreos não tripulados e técnicas de visão computacional
inferred← citeshttps://doi.org/10.26565/1992-4224-2016-26-08openalex-snapshot
Assessment of a Contamination of Crops of Sunflower by Means of Unmanned Aerial Vehicles
inferred← citeshttps://doi.org/10.26686/wgtn.17148110openalex-snapshot
Using UAV imagery to perform fine-scale mapping of wetland vegetation
inferred← citeshttps://doi.org/10.26686/wgtn.17148110.v1openalex-snapshot
Using UAV imagery to perform fine-scale mapping of wetland vegetation
inferred← citeshttps://doi.org/10.26898/0370-8799-2018-5-7openalex-snapshot
AUTOMATED DETECTION OF WEEDS AND EVALUATION OF CROP SPROUTS QUALITY BASED ON RGB IMAGES
inferred← citeshttps://doi.org/10.31031/eaes.2018.02.000540openalex-snapshot
"Satellite vs. UAVs Remote Sensing of Arid Ecosystems: A Review with in an Ecological Perspective"
inferred← citeshttps://doi.org/10.31926/recent.2022.68.100openalex-snapshot
An Analysis of the Possibilities to Develop and Implement a Modular and Scalable System Based on Mini-Aerial Robots for Precision Agriculture
inferred← citeshttps://doi.org/10.32782/agrobio.2020.4.5openalex-snapshot
Recognition and location of crop seedlings based on image processing
inferred← citeshttps://doi.org/10.3389/fnut.2026.1816860openalex-snapshot
Stress phenotyping of wild desert legume Acacia senegal with machine learning application and phytochemical characterization of bipinnate leaves
inferred← citeshttps://doi.org/10.3389/fpls.2019.00948openalex-snapshot
High-Throughput Phenotyping of Bioethanol Potential in Cereals Using UAV-Based Multi-Spectral Imagery
inferred← citeshttps://doi.org/10.3389/fpls.2019.01472openalex-snapshot
High-Throughput System for the Early Quantification of Major Architectural Traits in Olive Breeding Trials Using UAV Images and OBIA Techniques
inferred← citeshttps://doi.org/10.3389/fpls.2023.1143326openalex-snapshot
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
inferred← citeshttps://doi.org/10.3390/a18110680openalex-snapshot
Visible Image-Based Machine Learning for Identifying Abiotic Stress in Sugar Beet Crops
inferred← citeshttps://doi.org/10.3390/agriculture13081598openalex-snapshot
Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System
inferred← citeshttps://doi.org/10.3390/agriculture14122371openalex-snapshot
Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems
inferred← citeshttps://doi.org/10.3390/agronomy10040469openalex-snapshot
Digital Count of Corn Plants Using Images Taken by Unmanned Aerial Vehicles and Cross Correlation of Templates
inferred← citeshttps://doi.org/10.3390/agronomy11020203openalex-snapshot
Unmanned Aerial Vehicles in Agriculture: A Survey
inferred← citeshttps://doi.org/10.3390/agronomy11040749openalex-snapshot
Early Detection of Broad-Leaved and Grass Weeds in Wide Row Crops Using Artificial Neural Networks and UAV Imagery
inferred← citeshttps://doi.org/10.3390/agronomy11112277openalex-snapshot
The Predictive Power of Regression Models to Determine Grass Weed Infestations in Cereals Based on Drone Imagery—Statistical and Practical Aspects
inferred← citeshttps://doi.org/10.3390/agronomy13020492openalex-snapshot
Determining the Beginning of Potato Tuberization Period Using Plant Height Detected by Drone for Irrigation Purposes
inferred← citeshttps://doi.org/10.3390/agronomy15122885openalex-snapshot
A Canopy Height Model Derived from Unmanned Aerial System Imagery Provides Late-Season Weed Detection and Explains Variation in Crop Yield
inferred← citeshttps://doi.org/10.3390/agronomy9050258openalex-snapshot
High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture
inferred← citeshttps://doi.org/10.3390/drones2040039openalex-snapshot
Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/drones3020033openalex-snapshot
Identification of Ramularia Leaf Blight Cotton Disease Infection Levels by Multispectral, Multiscale UAV Imagery
inferred← citeshttps://doi.org/10.3390/drones8090457openalex-snapshot
Recent Development Trends in Plant Protection UAVs: A Journey from Conventional Practices to Cutting-Edge Technologies—A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/electronics14132517openalex-snapshot
Smart Precision Weeding in Agriculture Using 5IR Technologies
inferred← citeshttps://doi.org/10.3390/f12101393openalex-snapshot
Early Monitoring of Health Status of Plantation-Grown Eucalyptus pellita at Large Spatial Scale via Visible Spectrum Imaging of Canopy Foliage Using Unmanned Aerial Vehicles
inferred← citeshttps://doi.org/10.3390/f9070432openalex-snapshot
Detection of Coniferous Seedlings in UAV Imagery
inferred← citeshttps://doi.org/10.3390/jimaging4110132openalex-snapshot
Incorporating Surface Elevation Information in UAV Multispectral Images for Mapping Weed Patches
inferred← citeshttps://doi.org/10.3390/land13111751openalex-snapshot
Developing Site-Specific Prescription Maps for Sugarcane Weed Control Using High-Spatial-Resolution Images and Light Detection and Ranging (LiDAR)
inferred← citeshttps://doi.org/10.3390/plants10050977openalex-snapshot
The Use of Very-High-Resolution Aerial Imagery to Estimate the Structure and Distribution of the Rhanterium epapposum Community for Long-Term Monitoring in Desert Ecosystems
inferred← citeshttps://doi.org/10.3390/plants9050635openalex-snapshot
Creating Predictive Weed Emergence Models Using Repeat Photography and Image Analysis
inferred← citeshttps://doi.org/10.3390/pr11041263openalex-snapshot
Methods for Detecting and Classifying Weeds, Diseases and Fruits Using AI to Improve the Sustainability of Agricultural Crops: A Review
inferred← citeshttps://doi.org/10.3390/rs10020285openalex-snapshot
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
inferred← citeshttps://doi.org/10.3390/rs10020343openalex-snapshot
Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques
inferred← citeshttps://doi.org/10.3390/rs10040641openalex-snapshot
On the Use of Unmanned Aerial Systems for Environmental Monitoring
inferred← citeshttps://doi.org/10.3390/rs10050761openalex-snapshot
Unsupervised Classification Algorithm for Early Weed Detection in Row-Crops by Combining Spatial and Spectral Information
inferred← citeshttps://doi.org/10.3390/rs11030249openalex-snapshot
Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density
inferred← citeshttps://doi.org/10.3390/rs12010056openalex-snapshot
Mapping Cynodon Dactylon Infesting Cover Crops with an Automatic Decision Tree-OBIA Procedure and UAV Imagery for Precision Viticulture
inferred← citeshttps://doi.org/10.3390/rs12081246openalex-snapshot
Open Plant Phenotype Database of Common Weeds in Denmark
inferred← citeshttps://doi.org/10.3390/rs12244185openalex-snapshot
Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/rs13061204openalex-snapshot
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges
inferred← citeshttps://doi.org/10.3390/rs13071238openalex-snapshot
Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases
inferred← citeshttps://doi.org/10.3390/rs13112139openalex-snapshot
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions
inferred← citeshttps://doi.org/10.3390/rs13132548openalex-snapshot
Machine Learning Techniques to Predict Soybean Plant Density Using UAV and Satellite-Based Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs14102396openalex-snapshot
Optimization of UAV-Based Imaging and Image Processing Orthomosaic and Point Cloud Approaches for Estimating Biomass in a Forage Crop
inferred← citeshttps://doi.org/10.3390/rs14174197openalex-snapshot
A Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery
inferred← citeshttps://doi.org/10.3390/rs15194751openalex-snapshot
Initial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockings
inferred← citeshttps://doi.org/10.3390/rs16101778openalex-snapshot
Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping—A Soybean Field Case Study
inferred← citeshttps://doi.org/10.3390/rs71012793openalex-snapshot
Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
inferred← citeshttps://doi.org/10.3390/rs9050441openalex-snapshot
Image Registration and Fusion of Visible and Infrared Integrated Camera for Medium-Altitude Unmanned Aerial Vehicle Remote Sensing
inferred← citeshttps://doi.org/10.3390/s150819688openalex-snapshot
Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping
inferred← citeshttps://doi.org/10.3390/s16060893openalex-snapshot
Efficient Forest Fire Detection Index for Application in Unmanned Aerial Systems (UASs)
inferred← citeshttps://doi.org/10.3390/s17112557openalex-snapshot
Super-Resolution of Plant Disease Images for the Acceleration of Image-based Phenotyping and Vigor Diagnosis in Agriculture
inferred← citeshttps://doi.org/10.3390/s18010156openalex-snapshot
Superpixel-Based Feature for Aerial Image Scene Recognition
inferred← citeshttps://doi.org/10.3390/s18041253openalex-snapshot
A New Vegetation Segmentation Approach for Cropped Fields Based on Threshold Detection from Hue Histograms
inferred← citeshttps://doi.org/10.3390/s20010272openalex-snapshot
A Framework for Multiple Ground Target Finding and Inspection Using a Multirotor UAS
inferred← citeshttps://doi.org/10.34068/joe.55.06.49openalex-snapshot
Drones in Extension Programming: Implementation of Adult and Youth Activities
inferred← citeshttps://doi.org/10.34068/joe.58.02.20openalex-snapshot
Implementation of Drone System in Survey for Tomato Chlorotic Spot Virus
inferred← citeshttps://doi.org/10.34133/plantphenomics.0255openalex-snapshot
GSP-AI: An AI-Powered Platform for Identifying Key Growth Stages and the Vegetative-to-Reproductive Transition in Wheat Using Trilateral Drone Imagery and Meteorological Data
inferred← citeshttps://doi.org/10.35784/iapgos.5968openalex-snapshot
WEED DETECTION ON CARROTS USING CONVOLUTIONAL NEURAL NETWORK AND INTERNET OF THING BASED SMARTPHONE
inferred← citeshttps://doi.org/10.36718/1819-4036-2024-5-12-18openalex-snapshot
INFLUENCE OF SURVEYING ALTITUDE AND SOLAR ZENITH ANGLE ON WHEAT VEGETATION INDICES ACCORDING TO UAV DATA
inferred← citeshttps://doi.org/10.4018/978-1-6684-9231-4.ch006openalex-snapshot
Unmanned Aerial Vehicles (UAVs) in Modern Agriculture
inferred← citeshttps://doi.org/10.47749/t/unicamp.2016.979192openalex-snapshot
Retrieval of field-level information of sugarcane using unmanned aerial vehicle (UAV) data under different approaches
inferred← citeshttps://doi.org/10.47749/t/unicamp.2018.998893openalex-snapshot
Mapeamento de infestações de plantas daninhas em lavouras de cana-de-açúcar por aeronave remotamente pilotada (RPA)
inferred← citeshttps://doi.org/10.51583/ijltemas.2025.1406000100openalex-snapshot
Pattern Based Leaves Disease Classification Using AI
inferred← citeshttps://doi.org/10.51694/advweedsci/2026;44:0008openalex-snapshot
Harnessing the power of artificial intelligence in weed science: A multifaceted review
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-1-181-2018openalex-snapshot
AN EFFICIENT WEED DETECTION PROCEDURE USING LOW-COST UAV IMAGERY SYSTEM FOR PRECISION AGRICULTURE APPLICATIONS
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-2-w13-349-2019openalex-snapshot
CROP ROW DETECTION PROCEDURE USING LOW-COST UAV IMAGERY SYSTEM
inferred← citeshttps://doi.org/10.5204/thesis.eprints.197600openalex-snapshot
A framework for vision-based ground target finding and action using multirotor UAVs
inferred← citeshttps://doi.org/10.53846/goediss-8545openalex-snapshot
Plant-pollinator networks in fragmented calcareous grasslands
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