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Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A flexible unmanned aerial vehicle for precision agriculture
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Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
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‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications
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The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds
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Unmanned aerial systems for photogrammetry and remote sensing: A review
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Remote sensing applications for precision agriculture: A learning community approach
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Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
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Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery
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Use of a green channel in remote sensing of global vegetation from EOS-MODIS
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Chemistry of 2,5-diaminotetrazole.
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Bacterial spot of pepper and tomato
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State of the art in high density image matching
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Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV
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"Botryosphaeria" spp. as Grapevine Trunk Disease Pathogens.
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Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud
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Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds
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Mapping of vine vigor by UAV and anthocyanin content by a non-destructive fluorescence technique
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Digital camera calibration methods: Considerations and comparisons
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HYPERSPECTRAL REFLECTANCE SIGNATURES AND POINT CLOUDS FOR PRECISION AGRICULTURE BY LIGHT WEIGHT UAV IMAGING SYSTEM
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MICRO UAV BASED GEOREFERENCED ORTHOPHOTO GENERATION IN VIS + NIR FOR PRECISION AGRICULTURE
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INTRODUCING A LOW-COST MINI-UAV FOR THERMAL- AND MULTISPECTRAL-IMAGING
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SENSOR CORRECTION AND RADIOMETRIC CALIBRATION OF A 6-BAND MULTISPECTRAL IMAGING SENSOR FOR UAV REMOTE SENSING
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MAPPING CROP STATUS FROM AN UNMANNED AERIAL VEHICLE FOR PRECISION AGRICULTURE APPLICATIONS
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MEASURING SUNFLOWER NITROGEN STATUS FROM AN UNMANNED AERIAL VEHICLE-BASED SYSTEM AND AN ON THE GROUND DEVICE
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A comprehensive review on smart and sustainable agriculture using IoT technologies
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100570openalex-snapshot
Assessing plant pigmentation impacts: A novel approach integrating UAV and multispectral data to analyze atrazine metabolite effects from soil contamination
inferred← citeshttps://doi.org/10.1016/j.atech.2025.100881openalex-snapshot
Integrating thermal infrared and RGB imaging for early detection of water stress in lettuces with comparative analysis of IoT sensors
inferred← citeshttps://doi.org/10.1016/j.atech.2025.100956openalex-snapshot
Early season dominant weed mapping in maize field using unmanned aerial vehicle (UAV) imagery: Towards developing prescription map
inferred← citeshttps://doi.org/10.1016/j.atech.2025.101251openalex-snapshot
High-throughput photosynthetic phenotyping using hyperspectral reflectance in paddy rice (Oryza sativa L.) under field conditions
inferred← citeshttps://doi.org/10.1016/j.atech.2025.101406openalex-snapshot
A review of the application of UAV multispectral remote sensing technology in precision agriculture
inferred← citeshttps://doi.org/10.1016/j.atech.2025.101486openalex-snapshot
Enhanced wheat yield estimation with UAV multi-source remote sensing and optimized ensemble learning
inferred← citeshttps://doi.org/10.1016/j.atech.2026.102085openalex-snapshot
Diagnosis of nitrogen nutrition status in spring maize based on multi-source data fusion analysis from unmanned aerial vehicles
inferred← citeshttps://doi.org/10.1016/j.atech.2026.102503openalex-snapshot
UAV-based LiDAR and multispectral imagery fusion for maize yield prediction under various plant densities
inferred← citeshttps://doi.org/10.1016/j.atech.2026.102606openalex-snapshot
Strategically timed UAS data acquisition for wheat yield prediction using explainable AI: A multi-year phenology-aligned study
inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2020.07.001openalex-snapshot
Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2023.04.015openalex-snapshot
Using an optimised neural architecture search for predicting the quantum yield of photosynthesis of winter wheat
inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2023.06.001openalex-snapshot
Assessment of vineyard vigour and yield spatio-temporal variability based on UAV high resolution multispectral images
inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2024.04.002openalex-snapshot
Multiple instance regression for the estimation of leaf nutrient content in olive trees using multispectral data taken with UAVs
inferred← citeshttps://doi.org/10.1016/j.cj.2026.05.010openalex-snapshot
Pixel size and spatial scale in phenomics and enviromics modeling for precision breeding
inferred← citeshttps://doi.org/10.1016/j.compag.2018.03.035openalex-snapshot
Identification of purple spot disease on asparagus crops across spatial and spectral scales
inferred← citeshttps://doi.org/10.1016/j.compag.2019.105045openalex-snapshot
Droplet deposition density of organic liquid fertilizer at low altitude UAV aerial spraying in rice cultivation
inferred← citeshttps://doi.org/10.1016/j.compag.2020.105385openalex-snapshot
An automatic method for weed mapping in oat fields based on UAV imagery
inferred← citeshttps://doi.org/10.1016/j.compag.2020.105500openalex-snapshot
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106096openalex-snapshot
Determination of application volume for coffee plantations using artificial neural networks and remote sensing
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106380openalex-snapshot
Assessment of plant density for barley and wheat using UAV multispectral imagery for high-throughput field phenotyping
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106399openalex-snapshot
Linear mixed model analysis of NDVI-based canopy coverage, extracted from sequential UAV multispectral imagery of an open field tomato irrigation experiment
inferred← citeshttps://doi.org/10.1016/j.compag.2022.106966openalex-snapshot
GNSS-IMU-assisted colored ICP for UAV-LiDAR point cloud registration of peach trees
inferred← citeshttps://doi.org/10.1016/j.compag.2022.107017openalex-snapshot
Drones in agriculture: A review and bibliometric analysis
inferred← citeshttps://doi.org/10.1016/j.compag.2023.107739openalex-snapshot
Single-plant broccoli growth monitoring using deep learning with UAV imagery
inferred← citeshttps://doi.org/10.1016/j.compag.2023.108064openalex-snapshot
Unmanned Aerial Vehicle (Uav) Imaging and Machine Learning Applications for Plant Phenotyping
inferred← citeshttps://doi.org/10.1016/j.compag.2024.108685openalex-snapshot
Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109070openalex-snapshot
Research on density grading of hybrid rice machine-transplanted blanket-seedlings based on multi-source unmanned aerial vehicle data and mechanized transplanting test
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109425openalex-snapshot
Precise extraction of targeted apple tree canopy with YOLO-Fi model for advanced UAV spraying plans
inferred← citeshttps://doi.org/10.1016/j.compag.2026.111426openalex-snapshot
UAV remote sensing-driven precision variable management in cotton: technological framework, applications, and research outlook
inferred← citeshttps://doi.org/10.1016/j.compag.2026.111660openalex-snapshot
A novel UAV-based fusion of spectral and textural features with canopy stratification for accurate estimation of vertical nitrogen distribution in cotton
inferred← citeshttps://doi.org/10.1016/j.cor.2019.104826openalex-snapshot
An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision
inferred← citeshttps://doi.org/10.1016/j.cropro.2019.104865openalex-snapshot
Use of unmanned aircraft systems (UAS) and multispectral imagery for quantifying agricultural areas damaged by wild pigs
inferred← citeshttps://doi.org/10.1016/j.eaef.2019.06.002openalex-snapshot
Field phenotyping using multispectral imaging in pea (Pisum sativum L) and chickpea (Cicer arietinum L)
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2017.11.001openalex-snapshot
UAVs in pursuit of plant conservation - Real world experiences
inferred← citeshttps://doi.org/10.1016/j.ecolecon.2021.107047openalex-snapshot
Benefits of Increasing Information Accuracy in Variable Rate Technologies
inferred← citeshttps://doi.org/10.1016/j.ecolind.2016.03.036openalex-snapshot
Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system
inferred← citeshttps://doi.org/10.1016/j.ecolind.2019.105979openalex-snapshot
Fine scale plant community assessment in coastal meadows using UAV based multispectral data
inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112645openalex-snapshot
Moderate Red-Edge vegetation index for High-Resolution multispectral remote sensing images in urban areas
inferred← citeshttps://doi.org/10.1016/j.ecolind.2026.115067openalex-snapshot
A multi-source data fusion approach for high-resolution mapping of forest structure and carbon storage
inferred← citeshttps://doi.org/10.1016/j.ecoser.2024.101611openalex-snapshot
Quantifying ecosystem services from trees by using i-tree with low-resolution satellite images
inferred← citeshttps://doi.org/10.1016/j.ecss.2023.108432openalex-snapshot
Mapping intertidal oyster farms using unmanned aerial vehicles (UAV) high-resolution multispectral data
inferred← citeshttps://doi.org/10.1016/j.eja.2020.126201openalex-snapshot
A UAV-based framework for crop lodging assessment
inferred← citeshttps://doi.org/10.1016/j.eja.2024.127496openalex-snapshot
Using remotely sensed vegetation indices and multi-stream deep learning improves county-level corn yield predictions
inferred← citeshttps://doi.org/10.1016/j.ejrs.2024.07.002openalex-snapshot
Investigation of the usability of Göktürk-2 data and UAV data for pond construction project
inferred← citeshttps://doi.org/10.1016/j.eti.2021.101465openalex-snapshot
Remotely sensed identification of canopy characteristics using UAV-based imagery under unstable environmental conditions
inferred← citeshttps://doi.org/10.1016/j.foreco.2025.122660openalex-snapshot
Identification of damage severity in Fraxinus excelsior L. trees caused by ash dieback using multisensory and multitemporal UAV imagery
inferred← citeshttps://doi.org/10.1016/j.geogeo.2025.100418openalex-snapshot
Geospatial analysis of soil salinity dynamics: Exploring topographic and vegetation influences in coastal Bangladesh
inferred← citeshttps://doi.org/10.1016/j.heliyon.2019.e01277openalex-snapshot
Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e21574openalex-snapshot
Reversal in the drought stress response of the Scots pine forest ecosystem: Local soil water regime as a key to improving climate change resilience
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e36389openalex-snapshot
Multispectral imaging in medicine: A bibliometric study
inferred← citeshttps://doi.org/10.1016/j.ifacol.2022.04.097openalex-snapshot
Nonlinear Control Design for an Unmanned Aerial Vehicle for Path Following
inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105462openalex-snapshot
Multispectral images reconstruction using median filtering based spectral correlation
inferred← citeshttps://doi.org/10.1016/j.indcrop.2025.121110openalex-snapshot
UAV-based LiDAR and multispectral sensors fusion for cotton yield estimation: Plant height and leaf chlorophyll content as a bridge linking remote sensing data to yield
inferred← citeshttps://doi.org/10.1016/j.infrared.2023.105081openalex-snapshot
SSTM: Semantic Segmentation-based Template Matching method for heterogenous images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2017.03.011openalex-snapshot
Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2017.10.004openalex-snapshot
A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.10.018openalex-snapshot
Soybean crop coverage estimation from NDVI images with different spatial resolution to evaluate yield variability in a plot
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.12.006openalex-snapshot
Optimising drone flight planning for measuring horticultural tree crop structure
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.06.012openalex-snapshot
A low-cost UAV framework towards ornamental plant detection and counting in the wild
inferred← citeshttps://doi.org/10.1016/j.iswcr.2023.04.001openalex-snapshot
An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture
inferred← citeshttps://doi.org/10.1016/j.jag.2017.05.002openalex-snapshot
Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest
inferred← citeshttps://doi.org/10.1016/j.jag.2018.01.013openalex-snapshot
Describing the spatio-temporal variability of vines and soil by satellite-based spectral indices: A case study in Apulia (South Italy)
inferred← citeshttps://doi.org/10.1016/j.jag.2018.08.008openalex-snapshot
A novel approach for detecting agricultural terraced landscapes from historical and contemporaneous photogrammetric aerial photos
inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.112416openalex-snapshot
Investigating the applicability of UAVs in characterizing desert shrub biomass and developing biological indicators for the selection of suitable revegetation sites
inferred← citeshttps://doi.org/10.1016/j.jia.2026.05.005openalex-snapshot
Growth curve parameters of AGB estimated from multi-source remote sensing data enhance wheat yield prediction accuracy
inferred← citeshttps://doi.org/10.1016/j.jnc.2017.08.004openalex-snapshot
Review of native vegetation condition assessment concepts, methods and future trends
inferred← citeshttps://doi.org/10.1016/j.jnc.2023.126494openalex-snapshot
Monitoring costs of result-based payments for biodiversity conservation: Will UAV-assisted remote sensing be the game-changer?
inferred← citeshttps://doi.org/10.1016/j.jrurstud.2020.01.005openalex-snapshot
A trans-theoretical model for the adoption of drones by large-scale German farmers
inferred← citeshttps://doi.org/10.1016/j.measurement.2021.110478openalex-snapshot
Segmentation of unhealthy leaves in cruciferous crops for early disease detection using vegetative indices and Otsu thresholding of aerial images
inferred← citeshttps://doi.org/10.1016/j.nexus.2024.100300openalex-snapshot
Leveraging precision agriculture techniques using UAVs and emerging disruptive technologies
inferred← citeshttps://doi.org/10.1016/j.phycom.2019.100763openalex-snapshot
An improved sensing method using radio frequency detection
inferred← citeshttps://doi.org/10.1016/j.plaphe.2026.100189openalex-snapshot
Pubescence color classification in soybean breeding using aerial images and the Random Forest machine learning algorithm
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