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Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ps.4003openalex-snapshot

Using satellite multispectral imagery for damage mapping of armyworm (Spodoptera frugiperda) in maize at a regional scale

inferredcites →https://doi.org/10.1002/ps.5198openalex-snapshot

Optimizing band selection for spectral detection of Aphis glycines Matsumura in soybean

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Comparison of UAV and fixed‐wing aerial application for alfalfa insect pest control: evaluating efficacy, residues, and spray quality

inferredcites →https://doi.org/10.1007/s10493-018-0213-7openalex-snapshot

Active optical sensor assessment of spider mite damage on greenhouse beans and cotton

inferredcites →https://doi.org/10.1007/s10493-019-00367-3openalex-snapshot

Aerial application methods control spider mites on corn in Kansas, USA

inferredcites →https://doi.org/10.1007/s11119-005-3680-xopenalex-snapshot

Site-specific Approaches to Cotton Insect Control. Sampling and Remote Sensing Analysis Techniques

inferredcites →https://doi.org/10.1007/s11119-012-9264-7openalex-snapshot

Spectral vegetation indices selected for quantifying Russian wheat aphid (Diuraphis noxia) feeding damage in wheat (Triticum aestivum L.)

inferredcites →https://doi.org/10.1007/s11119-012-9274-5openalex-snapshot

The application of small unmanned aerial systems for precision agriculture: a review

inferredcites →https://doi.org/10.1007/s11119-016-9442-0openalex-snapshot

Unmanned aerial vehicle canopy reflectance data detects potassium deficiency and green peach aphid susceptibility in canola

inferredcites →https://doi.org/10.1016/j.biosystemseng.2007.01.008openalex-snapshot

Near-infrared Spectroscopy in detecting Leaf Miner Damage on Tomato Leaf

inferredcites →https://doi.org/10.1016/j.biosystemseng.2017.02.008openalex-snapshot

Spectral assessment of two-spotted spider mite damage levels in the leaves of greenhouse-grown pepper and bean

inferredcites →https://doi.org/10.1016/j.biosystemseng.2020.02.016openalex-snapshot

The use of UAVs in monitoring yellow sigatoka in banana

inferredcites →https://doi.org/10.1016/j.compag.2010.09.011openalex-snapshot

Development of a method using multispectral imagery and spatial pattern metrics to quantify stress to wheat fields caused by Diuraphis noxia

inferredcites →https://doi.org/10.1016/j.compag.2011.06.005openalex-snapshot

Spatially discriminating Russian wheat aphid induced plant stress from other wheat stressing factors

inferredcites →https://doi.org/10.1016/j.compag.2012.09.013openalex-snapshot

Differentiating stress to wheat fields induced by Diuraphis noxia from other stress causing factors

inferredcites →https://doi.org/10.1016/j.compag.2015.05.008openalex-snapshot

Processed multispectral imagery differentiates wheat crop stress caused by greenbug from other causes

inferredcites →https://doi.org/10.1016/j.compag.2016.07.022openalex-snapshot

Develop an unmanned aerial vehicle based automatic aerial spraying system

inferredcites →https://doi.org/10.1016/j.compag.2020.105836openalex-snapshot

Detection and classification of soybean pests using deep learning with UAV images

inferredcites →https://doi.org/10.1016/j.compag.2021.106124openalex-snapshot

Identification of maize leaves infected by fall armyworms using UAV-based imagery and convolutional neural networks

inferredcites →https://doi.org/10.1016/j.compag.2021.106128openalex-snapshot

UAV-based high-throughput phenotyping to increase prediction and selection accuracy in maize varieties under artificial MSV inoculation

inferredcites →https://doi.org/10.1016/j.compag.2021.106298openalex-snapshot

Detection and mapping of trees infected with citrus gummosis using UAV hyperspectral data

inferredcites →https://doi.org/10.1016/j.ecoinf.2021.101247openalex-snapshot

Identification of disease using deep learning and evaluation of bacteriosis in peach leaf

inferredcites →https://doi.org/10.1016/j.envexpbot.2007.11.014openalex-snapshot

Reducing plant abiotic and biotic stress: Drought and attacks of greenbugs, corn leaf aphids and virus disease in dryland sorghum

inferredcites →https://doi.org/10.1016/j.foreco.2021.118986openalex-snapshot

Application of conventional UAV-based high-throughput object detection to the early diagnosis of pine wilt disease by deep learning

inferredcites →https://doi.org/10.1016/j.foreco.2021.119493openalex-snapshot

Early detection of pine wilt disease using deep learning algorithms and UAV-based multispectral imagery

inferredcites →https://doi.org/10.1016/j.ijleo.2014.06.010openalex-snapshot

Predicting the probability of wheat aphid occurrence using satellite remote sensing and meteorological data

inferredcites →https://doi.org/10.1016/j.isprsjprs.2014.02.013openalex-snapshot

Unmanned aerial systems for photogrammetry and remote sensing: A review

inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.08.025openalex-snapshot

Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin

inferredcites →https://doi.org/10.1016/j.jag.2009.03.002openalex-snapshot

Remote sensing of spider mite damage in California peach orchards

inferredcites →https://doi.org/10.1016/j.jag.2016.12.008openalex-snapshot

Predicting stem borer density in maize using RapidEye data and generalized linear models

inferredcites →https://doi.org/10.1016/j.knosys.2020.106723openalex-snapshot

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning

inferredcites →https://doi.org/10.1016/j.micpro.2020.103607openalex-snapshot

An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection

inferredcites →https://doi.org/10.1016/j.procs.2018.07.063openalex-snapshot

Review on Application of Drone Systems in Precision Agriculture

inferredcites →https://doi.org/10.1016/j.rsase.2021.100566openalex-snapshot

Use of earth observation satellite data to guide the implementation of integrated pest and pollinator management (IPPM) technologies in an avocado production system

inferredcites →https://doi.org/10.1016/j.scitotenv.2020.141814openalex-snapshot

A geostatistical fusion approach using UAV data for probabilistic estimation of Xylella fastidiosa subsp. pauca infection in olive trees

inferredcites →https://doi.org/10.1023/b:prag.0000032766.88787.5fopenalex-snapshot

Spider Mite Detection and Canopy Component Mapping in Cotton Using Hyperspectral Imagery and Spectral Mixture Analysis

inferredcites →https://doi.org/10.1038/s41598-019-42620-0openalex-snapshot

Remote Sensing Data to Detect Hessian Fly Infestation in Commercial Wheat Fields

inferredcites →https://doi.org/10.1080/01431160903241981openalex-snapshot

Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrataKobus) damage detection

inferredcites →https://doi.org/10.1080/01431169508954588openalex-snapshot

Reflectance assessment of mite effects on apple trees

inferredcites →https://doi.org/10.1080/02571862.2013.803616openalex-snapshot

Estimation of thrips (Fulmekiola serrataKobus) density in sugarcane using leaf-level hyperspectral data

inferredcites →https://doi.org/10.1080/2150704x.2018.1498600openalex-snapshot

A two-stage classification approach for the detection of spider mite- infested cotton using UAV multispectral imagery

inferredcites →https://doi.org/10.1093/ee/nvw095openalex-snapshot

MODIS Imagery Improves Pest Risk Assessment: A Case Study of Wheat Stem Sawfly (Cephus cinctus, Hymenoptera: Cephidae) in Colorado, USA

inferredcites →https://doi.org/10.1093/jee/101.5.1614openalex-snapshot

Use of Spectral Vegetation Indices Derived from Airborne Hyperspectral Imagery for Detection of European Corn Borer Infestation in Iowa Corn Plots

inferredcites →https://doi.org/10.1093/jee/61.3.617openalex-snapshot

Infrared Aerial Color Photography for Detection of Populations of Brown Soft Scale in Citrus Groves123

inferredcites →https://doi.org/10.1093/jee/66.1.190openalex-snapshot

Aerial Photography with Infrared Color Film as a Method of Surveying for Citrus Blackfly12

inferredcites →https://doi.org/10.1093/jee/tov080openalex-snapshot

NDVI to Detect Sugarcane Aphid Injury to Grain Sorghum

inferredcites →https://doi.org/10.1093/jee/tov250openalex-snapshot

Soybean Aphid (Hemiptera: Aphididae) Affects Soybean Spectral Reflectance

inferredcites →https://doi.org/10.1109/access.2019.2949703openalex-snapshot

A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming

inferredcites →https://doi.org/10.1109/ghtc.2017.8239330openalex-snapshot

Development and evaluation of drone mounted sprayer for pesticide applications to crops

inferredcites →https://doi.org/10.1109/igarss.2008.4778859openalex-snapshot

Feasibility of Using Remote Sensing Techniques to Detect Spider Mite Damage in Stone Fruit Orchards

inferredcites →https://doi.org/10.1109/igarss.2009.5417322openalex-snapshot

Hand-held spectrometry for estimating thrips (Fulmekiola serrata) incidence in sugarcane

inferredcites →https://doi.org/10.1109/igarss.2011.6049478openalex-snapshot

Predicting wheat aphid using 2-dimensional feature space based on multi-temporal Landsat TM

inferredcites →https://doi.org/10.1115/1.4038973openalex-snapshot

Design of the Interacting-BoomCopter Unmanned Aerial Vehicle for Remote Sensor Mounting

inferredcites →https://doi.org/10.1117/1.jrs.11.026013openalex-snapshot

Detection of potato beetle damage using remote sensing from small unmanned aircraft systems

inferredcites →https://doi.org/10.1117/1.jrs.11.026035openalex-snapshot

Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment

inferredcites →https://doi.org/10.1117/1.jrs.8.083661openalex-snapshot

High spectral and spatial resolution hyperspectral imagery for quantifying Russian wheat aphid infestation in wheat using the constrained energy minimization classifier

inferredcites →https://doi.org/10.1186/s40663-021-00328-6openalex-snapshot

Early detection of pine wilt disease in Pinus tabuliformis in North China using a field portable spectrometer and UAV-based hyperspectral imagery

inferredcites →https://doi.org/10.1371/journal.pone.0215521openalex-snapshot

Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques

inferredcites →https://doi.org/10.1603/0046-225x(2006)35[1635:rsfdoc]2.0.co;2openalex-snapshot

Remote Sensing for Detection of Cotton Aphid– (Homoptera: Aphididae) and Spider Mite– (Acari: Tetranychidae) Infested Cotton in the San Joaquin Valley

inferredcites →https://doi.org/10.1603/022.038.0117openalex-snapshot

Visible/Near Infrared Reflectance (VNIR) Spectroscopy for Detecting Twospotted Spider Mite (Acari: Tetranychidae) Damage in Strawberries

inferredcites →https://doi.org/10.1603/en09218openalex-snapshot

Remotely Sensing Arthropod and Nutrient Stressed Plants: A Case Study With Nitrogen and Cotton Aphid (Hemiptera: Aphididae)

inferredcites →https://doi.org/10.1653/0015-4040(2003)086[0290:eorsti]2.0.co;2openalex-snapshot

EVALUATION OF REMOTE SENSING TO IDENTIFY VARIABILITY IN COTTON PLANT GROWTH AND CORRELATION WITH LARVAL DENSITIES OF BEET ARMYWORM AND CABBAGE LOOPER (LEPIDOPTERA:NOCTUIDAE)

inferredcites →https://doi.org/10.25165/ijabe.v10i3.3075openalex-snapshot

Droplets movement and deposition of an eight-rotor agricultural UAV in downwash flow field

inferredcites →https://doi.org/10.3390/agriculture11010022openalex-snapshot

A Comparative Study on Application of Unmanned Aerial Vehicle Systems in Agriculture

inferredcites →https://doi.org/10.3390/agronomy11050820openalex-snapshot

LoRa-LBO: An Experimental Analysis of LoRa Link Budget Optimization in Custom Build IoT Test Bed for Agriculture 4.0

inferredcites →https://doi.org/10.3390/agronomy11051002openalex-snapshot

Automated Detection of Tetranychus urticae Koch in Citrus Leaves Based on Colour and VIS/NIR Hyperspectral Imaging

inferredcites →https://doi.org/10.3390/drones5020034openalex-snapshot

UAV-Based Classification of Cercospora Leaf Spot Using RGB Images

inferredcites →https://doi.org/10.3390/rs10050787openalex-snapshot

Aerial and Ground Based Sensing of Tolerance to Beet Cyst Nematode in Sugar Beet

inferredcites →https://doi.org/10.3390/rs10122007openalex-snapshot

Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV

inferredcites →https://doi.org/10.3390/rs11070846openalex-snapshot

Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery

inferredcites →https://doi.org/10.3390/rs11111373openalex-snapshot

UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning

inferredcites →https://doi.org/10.3390/rs12172678openalex-snapshot

Detection of Citrus Huanglongbing Based on Multi-Input Neural Network Model of UAV Hyperspectral Remote Sensing

inferredcites →https://doi.org/10.3390/rs13010123openalex-snapshot

Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology

inferredcites →https://doi.org/10.3390/rs13020162openalex-snapshot

Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms

inferredcites →https://doi.org/10.3390/rs13061204openalex-snapshot

A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges

inferredcites →https://doi.org/10.3390/rs13061221openalex-snapshot

A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China

inferredcites →https://doi.org/10.3390/rs13132437openalex-snapshot

Wheat Fusarium Head Blight Detection Using UAV-Based Spectral and Texture Features in Optimal Window Size

inferredcites →https://doi.org/10.3390/rs13163185openalex-snapshot

Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data

inferredcites →https://doi.org/10.3390/s17112470openalex-snapshot

Fast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System

inferredcites →https://doi.org/10.3390/s18010260openalex-snapshot

A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data

inferredcites →https://doi.org/10.3390/s21030742openalex-snapshot

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning

inferredcites →https://doi.org/10.3390/su13041821openalex-snapshot

A Review of Applications and Communication Technologies for Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) Based Sustainable Smart Farming

inferredcites →https://doi.org/10.3958/0147-1724-32.4.213openalex-snapshot

Airborne Multi-Spectral Remote Sensing of Russian Wheat Aphid1Injury to Wheat

inferredcites →https://doi.org/10.3958/059.034.0301openalex-snapshot

Airborne Remote Sensing to Detect Greenbug1Stress to Wheat

inferredcites →https://doi.org/10.3958/059.041.0101openalex-snapshot

Using Multispectral Imagery to Compare the Spatial Pattern of Injury to Wheat Caused by Russian Wheat Aphid1and Greenbug1

inferredcites →https://doi.org/10.3958/059.043.0122openalex-snapshot

Using Multispectral Imagery to Map Spatially Variable Sugarcane AphidInfestations in Sorghum

inferredcites →https://doi.org/10.3958/059.043.0401openalex-snapshot

Detecting Change in a Sorghum Field Infested by Sugarcane Aphid

inferredcites →https://doi.org/10.5194/isprs-archives-xli-b1-963-2016openalex-snapshot

LIGHT-WEIGHT MULTISPECTRAL UAV SENSORS AND THEIR CAPABILITIES FOR PREDICTING GRAIN YIELD AND DETECTING PLANT DISEASES

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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ML-Enhanced Radio Propagation Estimation Considering Terrain Features for Stable UAV Wireless Communication

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Developments in the era of unmanned aerial systems

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Advance remote sensing technologies for crop disease and pest detection

inferred← citeshttps://doi.org/10.1016/b978-0-443-29973-5.00007-1openalex-snapshot

Economic importance of integrated pest management in sustainable agriculture and pollinator management

inferred← citeshttps://doi.org/10.1016/j.aei.2026.104516openalex-snapshot

Singularity-free prescribed performance control of a quadrotor UAV for precision agriculture

inferred← citeshttps://doi.org/10.1016/j.aiia.2024.09.001openalex-snapshot

UAV-based field watermelon detection and counting using YOLOv8s with image panorama stitching and overlap partitioning

inferred← citeshttps://doi.org/10.1016/j.asoc.2026.114889openalex-snapshot

Artificial intelligence in agricultural machinery & robotics: A systematic review and future outlook

inferred← citeshttps://doi.org/10.1016/j.ast.2025.111539openalex-snapshot

Benchmarking control strategies for UAV swarms: Centralized, decentralized, or federated reinforcement learning

inferred← citeshttps://doi.org/10.1016/j.atech.2022.100047openalex-snapshot

Efficacy of cotton harvest aids applications with unmanned aerial vehicles (UAV) and ground-based field sprayers – A case study comparison

inferred← citeshttps://doi.org/10.1016/j.atech.2024.100466openalex-snapshot

A multi-vision monitoring framework for simultaneous real-time unmanned aerial monitoring of farmer activity and crop health

inferred← citeshttps://doi.org/10.1016/j.atech.2024.100546openalex-snapshot

Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees

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.2025.101424openalex-snapshot

Real-time forage biomass estimation using IMU sensor-based systems

inferred← citeshttps://doi.org/10.1016/j.atech.2025.101660openalex-snapshot

A hybrid UCB-SA algorithm for multi-UAV path planning in plant protection

inferred← citeshttps://doi.org/10.1016/j.atech.2026.102491openalex-snapshot

RLFgoX: A cluster-based learning approach for early detection of rice leaf folder damage using comprehensive feature extraction

inferred← citeshttps://doi.org/10.1016/j.clcb.2024.100094openalex-snapshot

Systematic Review on Capacity Building through Renewable Energy enabled IoT- Unmanned Aerial Vehicle for Smart Agroforestry

inferred← citeshttps://doi.org/10.1016/j.comcom.2026.108636openalex-snapshot

Future of UAV communication in 6G networks: AI-native architecture, reconfigurable intelligent surface integration, and security frameworks

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.2022.107035openalex-snapshot

LDS-YOLO: A lightweight small object detection method for dead trees from shelter forest

inferred← citeshttps://doi.org/10.1016/j.compag.2024.108841openalex-snapshot

Advancements in variable rate spraying for precise spray requirements in precision agriculture using Unmanned aerial spraying Systems: A review

inferred← citeshttps://doi.org/10.1016/j.compag.2024.109601openalex-snapshot

A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring

inferred← citeshttps://doi.org/10.1016/j.compag.2025.110334openalex-snapshot

Orchard sweet cherry color distribution estimation from wireless sensor networks and video-based fruit detection

inferred← citeshttps://doi.org/10.1016/j.compag.2025.111232openalex-snapshot

Linear programming for UAVs search path planning in livestock health monitoring

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.cosrev.2024.100694openalex-snapshot

A comprehensive review on current issues and advancements of Internet of Things in precision agriculture

inferred← citeshttps://doi.org/10.1016/j.eap.2025.03.032openalex-snapshot

The impact of artificial intelligence technology application on total factor productivity in agricultural enterprises: Evidence from China

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103101openalex-snapshot

Canopy extraction of mango trees in hilly and plain orchards using UAV images: Performance of machine learning vs deep learning

inferred← citeshttps://doi.org/10.1016/j.energy.2025.136934openalex-snapshot

Investigation on strategies for reducing exhaust losses in opposed rotary piston engine and the impact of structure-induced internal EGR on engine performance

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115060openalex-snapshot

Real-time trajectory monitoring system and positioning accuracy test for manned helicopter crop spraying

inferred← citeshttps://doi.org/10.1016/j.farsys.2026.100244openalex-snapshot

Challenges and opportunities of AI adoption for agri-food system sustainability: Environmental footprint reduction

inferred← citeshttps://doi.org/10.1016/j.hybadv.2025.100458openalex-snapshot

Integration of Artificial Intelligence and IoT with UAVs for Precision Agriculture

inferred← citeshttps://doi.org/10.1016/j.ifacol.2023.10.757openalex-snapshot

LMI based H∞ Observer Design for a Quadcopter Model Operating in an Adaptive Vertical Farm

inferred← citeshttps://doi.org/10.1016/j.ifacol.2025.11.757openalex-snapshot

AgriNav: UAV Simulator for Vision-based Navigation in Agricultural Environments

inferred← citeshttps://doi.org/10.1016/j.ijcce.2025.10.004openalex-snapshot

Optimization and performance analysis of Drones and Unmanned Aerial Systems and Their Intelligence Applications

inferred← citeshttps://doi.org/10.1016/j.ijhydene.2025.152477openalex-snapshot

Numerical modeling and experimental validation of air-breathing PEMFCs for UAV high-altitude applications

inferred← citeshttps://doi.org/10.1016/j.ijmecsci.2026.111859openalex-snapshot

Frequency-domain diverse modulation for single-channel UAV propeller damage diagnosis

inferred← citeshttps://doi.org/10.1016/j.image.2026.117578openalex-snapshot

DARE-YOLO: A small object detection network for UAV scenarios via feature enhancement and dynamic multi-scale fusion

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103905openalex-snapshot

RARFLoc: Robust absolute and relative fused visual localization for UAVs

inferred← citeshttps://doi.org/10.1016/j.jfranklin.2022.07.043openalex-snapshot

Robust tracking control for quadrotor with unknown nonlinear dynamics using adaptive neural network based fractional-order backstepping control

inferred← citeshttps://doi.org/10.1016/j.jii.2025.101047openalex-snapshot

Prioritizing and overcoming barriers to unmanned aerial vehicles adoption in agriculture using an integrated intuitionistic fuzzy decision-making approach

inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.101853openalex-snapshot

Evaluation of land roughness and weather effects on paddy field using cameras mounted on drone: A comprehensive analysis from early to mid-growth stages

inferred← citeshttps://doi.org/10.1016/j.nexres.2026.101479openalex-snapshot

UAVLitchi: A UAV-based benchmark dataset for litchi fruit segmentation and detection in natural environment

inferred← citeshttps://doi.org/10.1016/j.optcom.2025.132808openalex-snapshot

Optimization of airgap in a monocentric lens assembly and metasurface based anti-reflecting coating in the long-wave IR regime

inferred← citeshttps://doi.org/10.1016/j.pce.2024.103759openalex-snapshot

A systematic review the of literature on remote sensing tomato crops productivity

inferred← citeshttps://doi.org/10.1016/j.rineng.2025.104081openalex-snapshot

Critical regions identification and coverage using optimal drone flight path planning for precision agriculture

inferred← citeshttps://doi.org/10.1016/j.rsase.2024.101418openalex-snapshot

Advancements in UAV remote sensing for agricultural yield estimation: A systematic comprehensive review of platforms, sensors, and data analytics

inferred← citeshttps://doi.org/10.1016/j.rser.2023.113858openalex-snapshot

Mapping smart farming: Addressing agricultural challenges in data-driven era

inferred← citeshttps://doi.org/10.1016/j.sintl.2024.100292openalex-snapshot

Integrating artificial intelligence and Internet of Things (IoT) for enhanced crop monitoring and management in precision agriculture

inferred← citeshttps://doi.org/10.1038/s41598-025-23868-1openalex-snapshot

Improving sugar beet canopy mapping through UAV image analysis

inferred← citeshttps://doi.org/10.1038/s41598-025-32384-1openalex-snapshot

AI-driven drone technology and computer vision for early detection of crop disease in large agricultural areas

inferred← citeshttps://doi.org/10.1038/s41598-026-54288-4openalex-snapshot

A hybrid fungal growth and differential evolution algorithm for energy-efficient UAV trajectory planning in MEC

inferred← citeshttps://doi.org/10.1049/csy2.70055openalex-snapshot

A Differentially Flat Trajectory Planning Approach for UAV Swarms With Energy Efficiency and Spatiotemporal Consistency

inferred← citeshttps://doi.org/10.1049/wss2.70019openalex-snapshot

A Comprehensive Review of Using WSNs and Drones for Improving Crop Production in Precision Agriculture

inferred← citeshttps://doi.org/10.1051/e3sconf/202449104007openalex-snapshot

Empowering Farmers with IoT, UAVs, and Deep Learning in Smart Agriculture

inferred← citeshttps://doi.org/10.1080/01431161.2024.2391081openalex-snapshot

Enhancing cotton seedling recognition: a method for high-resolution UAV remote sensing images

inferred← citeshttps://doi.org/10.1080/23311932.2026.2685961openalex-snapshot

Prospects and applications of autonomous vehicles in Nepalese agriculture: a review

inferred← citeshttps://doi.org/10.1088/1755-1315/1359/1/012037openalex-snapshot

Optimizing UAV Routes: An Implementation and Evaluation of Ant-Colony Optimization Algorithm on Crazyflie Quadcopter for Solving the Traveling Salesman Problem

inferred← citeshttps://doi.org/10.1109/access.2022.3152544openalex-snapshot

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

inferred← citeshttps://doi.org/10.1109/access.2023.3294094openalex-snapshot

Evaluation of Unmanned Aerial Vehicles for Precision Agriculture Based on Integrated Fuzzy Decision-Making Approach

inferred← citeshttps://doi.org/10.1109/access.2024.3401018openalex-snapshot

Unmanned Aerial Vehicle for Precision Agriculture: A Review

inferred← citeshttps://doi.org/10.1109/access.2024.3522101openalex-snapshot

TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model

inferred← citeshttps://doi.org/10.1109/access.2025.3598862openalex-snapshot

Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network

inferred← citeshttps://doi.org/10.1109/access.2025.3621736openalex-snapshot

The Rise of UAV-Based Smart Surveillance: A Systematic Review of Trends and Technologies

inferred← citeshttps://doi.org/10.1109/access.2025.3645364openalex-snapshot

A DRL-Based Framework for Energy-Optimal Trajectory Optimization Between Disjoint Regions in Wind Shear Environments Based on Dynamic Soaring

inferred← citeshttps://doi.org/10.1109/aicera/icis59538.2023.10420422openalex-snapshot

NLP Based Approach for Classification of Positive and Negative Opinions About the Pesticide Product in an Agricultural Domain

inferred← citeshttps://doi.org/10.1109/asiancomnet68615.2025.11579723openalex-snapshot

Integration of Forensic Artifacts from Android-based Drone Controllers into Android Logs Events and Protobuf Parser

inferred← citeshttps://doi.org/10.1109/c-code67372.2025.11204042openalex-snapshot

Low-Cost Agricultural Sprayer Drone Development

inferred← citeshttps://doi.org/10.1109/cbase67452.2025.11335491openalex-snapshot

An Efficient and Lightweight Unmanned Aerial Vehicle Network Authentication Mechanism

inferred← citeshttps://doi.org/10.1109/ccnc65079.2026.11366384openalex-snapshot

Design Detailing of Machine Learning-based Estimation Method of Stable Communication Range for UAV Flight

inferred← citeshttps://doi.org/10.1109/cicn63059.2024.10847362openalex-snapshot

UAV Images Based Maize Crop Analysis Using Custom CNN Model

inferred← citeshttps://doi.org/10.1109/compsac65507.2025.00015openalex-snapshot

Multi-Strategy Enhanced COA for Path Planning in Autonomous Navigation

inferred← citeshttps://doi.org/10.1109/cros66186.2025.11066148openalex-snapshot

Towards a rapidly manufactured VTOL Hybrid UAV

inferred← citeshttps://doi.org/10.1109/dcoss-iot65416.2025.00022openalex-snapshot

ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture

inferred← citeshttps://doi.org/10.1109/esci59607.2024.10497246openalex-snapshot

Multi-Modal Visual Features Perception Technology for Internet of Vehicles (IoV)

inferred← citeshttps://doi.org/10.1109/etaav66793.2025.11213380openalex-snapshot

UAV Based Aerial Object Imagery for Animal Ecology

inferred← citeshttps://doi.org/10.1109/gcon69192.2026.11648387openalex-snapshot

Spatiotemporal classification of Litchi Tree Health Using UAV Imagery: A Study on Vegetation Indices and Crown Area Dynamics

inferred← citeshttps://doi.org/10.1109/i2itcon65200.2025.11210451openalex-snapshot

Integrating UAV and IoT Technologies for Precision Agriculture: Efficient Seed Dropping, Fertilization, and Pest Control

inferred← citeshttps://doi.org/10.1109/iaeac59436.2024.10503803openalex-snapshot

A Survey for Unmanned Aerial Vehicles in Smart Agriculture: Types and Modelling Perspectives

inferred← citeshttps://doi.org/10.1109/icaccm61117.2024.11058999openalex-snapshot

Machine Learning-Based Caloric Expenditure Prediction for Personalized Fitness Assessment during Physical Activity

inferred← citeshttps://doi.org/10.1109/icaccm61117.2024.11059214openalex-snapshot

Exploring Cloud Computing for Real-Time Analysis and Storage of Data Generated by Medical Devices

inferred← citeshttps://doi.org/10.1109/icacic59454.2023.10435110openalex-snapshot

Artificial Intelligence Techniques Integrated UAV for Next Generation Agriculture

inferred← citeshttps://doi.org/10.1109/icait61638.2024.10690751openalex-snapshot

Accurate Forecast Value for Stock Index and Bitcoin Price Using Novel Quantum Enforcing Algorithm in Comparison of Bernstein Vazirani Algorithm

inferred← citeshttps://doi.org/10.1109/icca65672.2025.11129789openalex-snapshot

Multi-Agent Distributed Cooperative Localization Based on Ultra-Wideband

inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10724735openalex-snapshot

Growing Agriculture: An All-encompassing Structure for Crop Disease Prediction and Ecological Handling

inferred← citeshttps://doi.org/10.1109/iccns58795.2023.10193565openalex-snapshot

Deployment of an autonomous fleet of UAVs for Assessing the NDVI of Regenerative Farming

inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292028openalex-snapshot

Ultra-Low Power Sensor Data Processing in Smart Agriculture Using Attention-Optimized TinyML Models for Edge Microcontrollers

inferred← citeshttps://doi.org/10.1109/icct67028.2025.11427483openalex-snapshot

Coverage of Agricultural Areas by a Group of Unmanned Aerial Vehicles Considering Wind Load and Energy Consumption Constraints

inferred← citeshttps://doi.org/10.1109/iceccme64568.2025.11277958openalex-snapshot

Designing an Automated Seeding Drone System for Soil-Condition-Based Multi-Crop Farming

inferred← citeshttps://doi.org/10.1109/icercs57948.2023.10434106openalex-snapshot

Identification Tea Pest Infestation Against Red Spider Mite And Red Slug Catterpillar

inferred← citeshttps://doi.org/10.1109/icipcn67432.2026.11438485openalex-snapshot

Smart Farmx: Multipurpose Drone for Next-Generation Crop Monitoring & Optimization System using IoT

inferred← citeshttps://doi.org/10.1109/icmt67823.2025.11298852openalex-snapshot

Integral Sliding Mode Control for Autonomous UAV Tracking of Moving Targets via a Vision-Based Algorithm on the PX4 Platform

inferred← citeshttps://doi.org/10.1109/icoecit68303.2026.11497188openalex-snapshot

A Deep Learning-Based UAV Framework for Precision Agriculture and Crop Health Monitoring

inferred← citeshttps://doi.org/10.1109/icosec54921.2022.9952112openalex-snapshot

Weighted Kernel based Prediction and Detection of Outliers

inferred← citeshttps://doi.org/10.1109/icosec58147.2023.10275835openalex-snapshot

Revolutionizing Agriculture with IoT –A Review

inferred← citeshttps://doi.org/10.1109/ictc58733.2023.10392976openalex-snapshot

UAV-Satellite Integration for Communication System: Potential Applications and Key Challenges

inferred← citeshttps://doi.org/10.1109/icuas60882.2024.10556844openalex-snapshot

UAV-Based Optimization for Fruit Counting in Greenhouses

inferred← citeshttps://doi.org/10.1109/icuas65942.2025.11007858openalex-snapshot

Synthesized Control for In-Field UAV Moving Target Interception Via Deep Reinforcement Learning and Fuzzy Logic

inferred← citeshttps://doi.org/10.1109/idaacs68557.2025.11322044openalex-snapshot

Efficient Drone Route Planning in Precision Agriculture Using CETSP

inferred← citeshttps://doi.org/10.1109/indin58382.2024.10774404openalex-snapshot

Design of Attitude Simulation Control Platform for UAV Teaching

inferred← citeshttps://doi.org/10.1109/infoteh64129.2025.10959241openalex-snapshot

Precision Agriculture Revolutionized: UAV-Based Detection of Leaffolders and Stem Borers in Ricefields using EfficientNetB1

inferred← citeshttps://doi.org/10.1109/itis59651.2023.10419912openalex-snapshot

Monitoring System for Autonomous Farming Drone based on Convolutional Neural Network

inferred← citeshttps://doi.org/10.1109/jiot.2025.3582091openalex-snapshot

Energy-Efficient Computing Offloading With Trajectory Optimization and Resource Allocation in UAVs Aided Industrial IoT

inferred← citeshttps://doi.org/10.1109/jproc.2025.3599126openalex-snapshot

Drone-as-a-Service: Research Challenges and Directions

inferred← citeshttps://doi.org/10.1109/jsen.2025.3588616openalex-snapshot

A Hybrid Multitask Learning Approach for Efficient UAV Signal Identification

inferred← citeshttps://doi.org/10.1109/jsen.2026.3698876openalex-snapshot

A UAV Radio Frequency Signal Classification Network Based on Adaptive Wavelet Packet Transform

inferred← citeshttps://doi.org/10.1109/lars64411.2024.10786447openalex-snapshot

Enhancing UAV Spraying Efficiency through Payload Sensor Integration

inferred← citeshttps://doi.org/10.1109/mass66014.2025.00028openalex-snapshot

Energy-Efficient Split Learning for Resource-Constrained Environments: A Smart Farming Solution

inferred← citeshttps://doi.org/10.1109/metroagrifor58484.2023.10424168openalex-snapshot

Design and Stability Analysis of an Agricultural Sprayer UAS Integrated with an Anti-Sloshing Tank

inferred← citeshttps://doi.org/10.1109/mgrs.2026.3686306openalex-snapshot

From 2D Flat Maps to 4D Living Models: A review of UAV remote sensing in agriculture

inferred← citeshttps://doi.org/10.1109/ncc63735.2025.10983047openalex-snapshot

Decentralized Autonomous Farm Management

inferred← citeshttps://doi.org/10.1109/raai67517.2025.11422999openalex-snapshot

Intelligent Multi-Operational RADAR (IMOR)-Based Soft Landing of UAVs on Unknown Terrain

inferred← citeshttps://doi.org/10.1109/seeda-cecnsm68644.2025.11329958openalex-snapshot

Smart Path Planning for UAV Navigation in Apple Orchards Using Digital Twin Validation

inferred← citeshttps://doi.org/10.1109/smirc70459.2026.11706687openalex-snapshot

Crop–Weed Classification in UAV Imagery: A Study on the Effectiveness of CLAHE and ESRGAN Techniques

inferred← citeshttps://doi.org/10.1109/tafe.2024.3420028openalex-snapshot

UAV Sensing-Based Litchi Segmentation Using Modified Mask-RCNN for Precision Agriculture

inferred← citeshttps://doi.org/10.1109/tfr.2025.3604716openalex-snapshot

LiDAR-Based Quadrotor Autonomous Inspection System in Cluttered Environments

inferred← citeshttps://doi.org/10.1109/tocs56154.2022.10015987openalex-snapshot

The Application of Unmanned Aerial Vehicles Data Communication in Agriculture

inferred← citeshttps://doi.org/10.1109/uvs59630.2024.10467161openalex-snapshot

A State-Of-The-Art Analysis Of Pesticide Spraying On Infected Plants Using IoE-Equipped UAV's Operational State

inferred← citeshttps://doi.org/10.1111/1365-2664.14830openalex-snapshot

Remote sensing approaches to monitor tropical forest restoration: Current methods and future possibilities

inferred← citeshttps://doi.org/10.1111/geb.13804openalex-snapshot

Remote sensing biodiversity monitoring in Latin America: Emerging need for sustained local research and regional collaboration to achieve global goals

inferred← citeshttps://doi.org/10.1142/s2737599424300046openalex-snapshot

Innovations in precision agriculture and smart farming: Emerging technologies driving agricultural transformation

inferred← citeshttps://doi.org/10.1145/3749194openalex-snapshot

Multi-UAV Tasking and Coordination for Monitoring and Coverage of Agricultural Farmland

inferred← citeshttps://doi.org/10.1155/2022/1160258openalex-snapshot

Application of IoT-Based Drones in Precision Agriculture for Pest Control

inferred← citeshttps://doi.org/10.1155/2022/5102290openalex-snapshot

An Improved Deep Residual Convolutional Neural Network for Plant Leaf Disease Detection

inferred← citeshttps://doi.org/10.1155/2023/5546373openalex-snapshot

Integrated Pest Management (IPM) in Agriculture and Its Role in Maintaining Ecological Balance and Biodiversity

inferred← citeshttps://doi.org/10.1155/ijae/4071002openalex-snapshot

Optimizing Unmanned Aerial Vehicle Battery Management for Energy‐Aware Mapping Missions

inferred← citeshttps://doi.org/10.1155/int/4700518openalex-snapshot

An Innovative Coverage Path Planning Approach for UAVs to Boost Precision Agriculture and Rescue Operations

inferred← citeshttps://doi.org/10.11591/ijeecs.v30.i2.pp778-786openalex-snapshot

Unmanned aerial vehicle: a review and future directions

inferred← citeshttps://doi.org/10.1177/14644207241241211openalex-snapshot

Exploring bending behavior of curved sandwich panels with three-dimensional printed, functionally graded cores

inferred← citeshttps://doi.org/10.1177/14727978251366552openalex-snapshot

UPE-YOLOv7: A robust UAV-Assisted real-time detection system for tailings pollution

inferred← citeshttps://doi.org/10.12944/carj.11.1.25openalex-snapshot

Impact of Artificial Intelligence in Agriculture with Special Reference to Agriculture Information Research

inferred← citeshttps://doi.org/10.1371/journal.pone.0345760openalex-snapshot

Fine-grained identification of tea plantation parcels in UAV remote sensing images based on DVIT-UNet

inferred← citeshttps://doi.org/10.14483/23448393.21035openalex-snapshot

Preliminary Approach for UAV-Based Multi-Sensor Platforms for Reconnaissance and Surveillance applications

inferred← citeshttps://doi.org/10.15622/ia.24.6.10openalex-snapshot

Method of Calculating Capsule-Shaped Air Corridors of Safe Routes for a Group of Unmanned Aerial Vehicles

inferred← citeshttps://doi.org/10.1590/jatm.v18.1413openalex-snapshot

OPsCV: A Robust Framework for Aerial Navigation under Global Positioning System Denied Conditions

inferred← citeshttps://doi.org/10.17221/74/2024-ppsopenalex-snapshot

Mapping and monitoring of weeds using unmanned aircraft systems and remote sensing

inferred← citeshttps://doi.org/10.19159/tutad.1730333openalex-snapshot

Tarla Bitkilerinde Kullanılan Akıllı Tarım Teknolojileri

inferred← citeshttps://doi.org/10.21163/gt_2022.172.14openalex-snapshot

HEIGHT MEASUREMENT AND OIL PALM YIELD PREDICTION USING UNMANNED AERIAL VEHICLE (UAV) DATA TO CREATE CANOPY HEIGHT MODEL (CHM)

inferred← citeshttps://doi.org/10.2139/ssrn.4813501openalex-snapshot

Comparative Analysis of Uavs, Ugvs and Tractors for Precision Spraying in Vineyards: Addressing Economic, Energy, and Sustainability Aspects with Battery Constraints

inferred← citeshttps://doi.org/10.2139/ssrn.5211186openalex-snapshot

Integrating Unmanned Aircraft Systems into the National Airspace: Balancing Technological Advancement with Regulatory Challenges

inferred← citeshttps://doi.org/10.23919/indiacom70271.2026.11635769openalex-snapshot

Uav-Integrated Aerial Intelligence for Smart Agriculture: A Framework

inferred← citeshttps://doi.org/10.23919/pemwn56085.2022.9963839openalex-snapshot

UAV Search Path Planning For Livestock Monitoring

inferred← citeshttps://doi.org/10.23919/pemwn56085.2022.9963871openalex-snapshot

A Survey on the Opportunities of Blockchain and UAVs in Agriculture

inferred← citeshttps://doi.org/10.2478/contagri-2025-0027openalex-snapshot

Modern Information Technology in Smart Sustainable Agriculture (SSA): A Review of Current Trends and Future Directions

inferred← citeshttps://doi.org/10.2514/6.2025-1537openalex-snapshot

Cooperative Localization of UAVs in Multi-Robot Systems Using Deep Learning-Based Detection

inferred← citeshttps://doi.org/10.30518/jav.1567696openalex-snapshot

Multirotor Unmanned Aerial Vehicle Systems: An In-Depth Analysis of Hardware, Software, And Communication Systems

inferred← citeshttps://doi.org/10.30574/gscarr.2024.18.1.0026openalex-snapshot

A comprehensive examination of security and privacy in precision agriculture technologies

inferred← citeshttps://doi.org/10.32604/rig.2024.054838openalex-snapshot

Cartographie Automatique et Comptage des Arbres Oliviers A Partir de L’Imagerie de Drone par Un Reseau de Neurones Covolutionnel

inferred← citeshttps://doi.org/10.33573/ujoh2024.01.054openalex-snapshot

Improvement of working conditions assessment and risk calculation methods taking into account the specific features of pesticide application with unmanned aerial vehicles (UAV)

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