| A Dataset of Aligned RGB and Multispectral UAV Imagery for Semantic Segmentation of Weedy Rice | 25-11 | Rice | dataset, weed, multispectral |
| An Effective Process to Use Drones for Above-Ground Biomass Estimation in Agroforestry Landscapes | 25-11 | multiple | biomass, agroforestry, multispectral |
| Integrating Vegetation Indices and Texture Features from UAV multispectral image for Nondestructive Peanut Aboveground Biomass Estimation | 25-11 | Peanut | biomass, multipectral |
| Two-year remote sensing and ground verification: Estimating chlorophyll content in winter wheat using UAV multi-spectral imagery | 25-11 | Wheat | chlorophyll, multispectral |
| 3D thermal volume mapping to assess the biological and physical characteristics of olive crops using remote sensing and photogrammetric methods | 25-10 | Olive | |
| Advancing UAV-based wheat phenology monitoring: A dual-mode framework integrating time-series reconstruction, noise augmentation, and deep learning for robust BBCH estimation | 25-10 | Wheat | |
| Assessing Nitrogen Fertilizer Efficacy In Hardy Kiwi (Actinidia Arguta): A UAV-Multispectral Approach For Chlorophyll-Based Nutrient Monitoring | 25-10 | Kiwi | nitrogen, multispectral |
| Automated Crop Measurements with UAVs: Evaluation of an AI-Driven Platform for Counting and Biometric Analysis | 25-10 | multiple | counting, height, canopy cover |
| Evaluating the Performance of Winter Wheat Under Late Sowing Using UAV Multispectral Data | 25-10 | Wheat | multispectral |
| Evaluation of winter wheat varieties’ responses to nitrogen supply supported by 10-band multispectral aerial imaging: reproducibility over crop seasons and sites | 25-10 | Wheat | nitrogen, multispectral |
| Identification of Cotton Leaf Mite Damage Stages Using UAV Multispectral Images and a Stacked Ensemble Method | 25-10 | Cotton | insect, multispectral |
| Integrating UAS, Computer Vision and AI for Targeted Management of Invasive Insect Pests in Vineyards | 25-10 | Grape | insect, multispectral |
| Kiwifruit Health Assessment Model Based on Spectral Analysis and UAV Imagery | 25-10 | Kiwi | disease |
| Late growth stage decision on maize varieties’ drought resilience | 25-10 | Maize | water stress, multispectral |
| Real-time UAV-based wheat lodging detection via edge-accelerated improved Mask-RT-DETR | 25-10 | Wheat | lodging |
| Sorghum yield prediction using UAV multispectral imaging and stacking ensemble learning in arid regions | 25-10 | Sorghum | yield, multispectral |
| Technology for Blackcurrant Plantations Control Using Drones | 25-10 | Blackcurrant | |
| Comparative Assessment of Remote and Proximal NDVI Sensing for Predicting Wheat Agronomic Traits | 25-09 | Wheat | NDVI |
| Improving estimation of days to maturity in field pea using RGB aerial imagery and machine learning | 25-09 | Pea | maturity |
| Influence of Soil Background Noise on Accuracy of Soil Moisture Content Inversion in Alfalfa Fields Based on UAV Multispectral Data | 25-09 | Alfalfa | soil moisture |
| Methodological Study on Maize Water Stress Diagnosis Based on UAV Multispectral Data and Multi-Model Comparison | 25-09 | Maize | water stress, multispectral |
| Modeling and Estimating Soybean Leaf Area Index and Biomass Using Machine Learning Based on Unmanned Aerial Vehicle-Captured Multispectral Images | 25-09 | Soybean | biomass, LAI, multispectral |
| Prediction of Lettuce Harvest Date and Evaluation of Data for Yield Estimation Using Artificial Intelligence Analysis of Aerial Drone Images (Sept 2025) | 25-09 | Lettuce | yield |
| Quantifying the Effects of UAV Flight Altitude on the Multispectral Monitoring Accuracy of Soil Moisture and Maize Phenotypic Parameters | 25-09 | Maize | image acquisition, multispectral, soil moisture |
| Reliable NDVI estimation in wheat using low-Cost UAV-derived RGB vegetation indices | 25-09 | Wheat | NDVI |
| WeedSpecies Identification Using Drones with Multispectral Cameras and Machine-Learning | 25-09 | multiple | weed, multispectral |
| A Remote Sensing Approach for Biomass Assessment in Winter Wheat Using the NDVI Second Derivative in Terms of NIR | 25-08 | Wheat | biomass, NDVI |
| Advances in UAV-based deep learning for cassava disease monitoring and detection: A comprehensive review of models, imaging techniques, and agricultural applications | 25-08 | Cassava | disease |
| Automatic classification of healthy / diseased plants using multispectral images | 25-08 | N/A | disease, multispectral |
| Development of Maize Canopy Architecture Indicators Through UAV Multi-Source Data | 25-08 | Maize | architecture |
| Estimating soil salinity in cotton fields using UAV multispectral remote sensing and SSA–SVM optimised machine learning model | 25-08 | Cotton | soil salinity, multispectral |
| Fraction cover estimation using drone-based multispectral images in six olive cultivars and different planting systems: a case study in Sicily | 25-08 | Olive | architecture, multispectral |
| Monitoring Chlorophyll Content of Brassica napus L. Based on UAV Multispectral and RGB Feature Fusion | 25-08 | Oilseed rape | chlorophyll, multispectral |
| Optimisation of the correlation between normalised difference vegetation index and sugar beet yield using multispectral remote sensing data | 25-08 | Sugar beet | yield, multispectral |
| Precision Agriculture Applications in Tart Cherries: Yield Mapping Technologies and Remote Sensing for Water Stress Estimation | 25-08 | Cherry | yield, water stress |
| Soybean maturity prediction using two-dimensional contour plots from drone-based time series imagery | 25-08 | Soybean | maturity, AI |
| SOYBEAN IRRIGATION MANAGEMENT AND YIELD ESTIMATION BASED ON UAV IN THE MID-SOUTH BASED ON UAV IN THE MID-SOUTH (Thesis) | 25-08 | Soybean | irrigation, yield |
| UAV-based aerial phenotyping to assess key morphophysiological traits and yield in soybean | 25-08 | Soybean | architecture |
| Comparison of PhenoCams and drones for lean phenotyping of phenology and senescence of wheat genotypes in variety testing | 25-07 | Wheat | senescence |
| Remote-Sensing for Herbicide-Free Agriculture : A Bio-Economic and Policy Appraisal | 25-07 | N/A | herbicide |
| Cover Crops for Sustainable Silage-Maize Production: Enhancing Resource Use Efficiency through Modelling and Remote Sensing (Thesis) | 25-05 | Maize | silage, cover crops |
| Assessing Soil Organic Carbon in Semi-Arid Agricultural Soils Using UAVs and Machine Learning: A Pathway to Sustainable Water and Soil Resource Management | 25-04 | N/A | soil, carbon, AI, multispectral |
| Drone multispectral imaging captures the effects of soil mineral nitrogen on canopy structure and nitrogen use efficiency in wheat | 25-04 | Wheat | nitrogen, soil, multispectral |
| Field Rice Growth Monitoring and Fertilization Management Based on UAV Spectral and Deep Image Feature Fusion | 25-04 | Rice | fertilization |
| Inversion Model for Total Nitrogen in Rhizosphere Soil of Silage Corn Based on UAV Multispectral Imagery | 25-04 | Maize | silage, soil, nitrogen, multispectral |
| Monitoring of Soybean Bacterial Blight Disease Using Drone-Mounted Multispectral Imaging: A Case Study in Northeast China | 25-04 | Soybean | disease, multispectral |
| Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data | 25-04 | Grape | disease, multispectral |
| UAV Photogrammetry-Based Leaf Area Index for Above-Ground Biomass Estimation in Wetlands | 25-04 | N/A | biomass, LAI, wetlands |
| Using Drones to Predict Degradation of Surface Drainage on Agricultural Fields: A Case Study of the Atlantic Dykelands | 25-04 | Maize | soil, height, NDVI, multispectral |
| A practical guide to UAV-based weed identification in soybean: Comparing RGB and multispectral sensor performance | 25-03 | Soybean | weed, multispectral |
| Assessment of the Maize Crop Water Stress Index (CWSI) Using Drone-Acquired Data Across Different Phenological Stages | 25-03 | Maize | water stress |
| Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing | 25-03 | Wheat | nitrogen |
| Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru | 25-03 | N/A | soil, multispectral |
| Drone-based dataset of annotated sunflower images from Bangladesh | 25-03 | Sunflower | |
| Estimating Stratified Biomass in Cotton Fields Using UAV Multispectral Remote Sensing and Machine Learning | 25-03 | Cotton | biomass, multispectral |
| Estimation of Silage Maize Plant Moisture Content Based on UAV Multispectral Data and Ensemble Learning Methods | 25-03 | Maize | silage, moisture, multispectral |
| Monitoring Maize Growth Using a Model for Objective Weight Assignment Based on Multispectral Data From UAV | 25-03 | Maize | growth, multispectral |
| Multi-scale remote sensing for sustainable citrus farming: Predicting canopy nitrogen content using UAV-satellite data fusion | 25-03 | Citrus | nitrogen |
| Optical leaf area assessment supports chlorophyll estimation from UAV images | 25-03 | N/A | chlorophyll |
| Prediction of sugar beet yield and quality parameters using Stacked-LSTM model with pre-harvest UAV time series data and meteorological factors | 25-03 | Sugar beet | yield, quality |
| Vision-based automatic fruit counting with UAV | 25-03 | fruit | counting |
| A Novel Approach for Maize Straw Type Recognition Based on UAV Imagery Integrating Height, Shape, and Spectral Information | 25-02 | Maize | |
| Algorithms for Plant Monitoring Applications: A Comprehensive Review | 25-02 | N/A | algorithm |
| Assessing canopy temperature responses to nitrogen fertilisation in South Indian crops using UAV-based thermal sensing | 25-02 | N/A | nitrogen |
| Combining machine learning with UAV derived multispectral aerial images for wheat yield prediction, in southern Brazil | 25-02 | Wheat | yield, multispectral |
| Digital technologies for water use and management in agriculture: Recent applications and future outlook | 25-02 | N/A | water |
| Drone and handheld sensors for hemp: Evaluating NDVI and NDRE in relation to nitrogen application and crop yield | 25-02 | Hemp | NDVI, NDRE, nitrogen |
| Early Detection of Sugar Beet Cercospora Leaf Spot Disease Using Machine Learning-Assisted Thermal Image Processing Method | 25-02 | Sugar beet | disease |
| Estimating Canopy Chlorophyll Content of Potato Using Machine Learning and Remote Sensing | 25-02 | Potato | chlorophyll |
| Estimation Model of Corn Leaf Area Index Based on Improved CNN | 25-02 | Maize | LAI |
| Framework for Smartphone-based Grape Detection and Vineyard Management using UAV-Trained AI | 25-02 | Grape | |
| Geostatistical Approach and Drone Image Analysis of the Spatial Distribution of Bacterial Leaf Blight in Rice Plants | 25-02 | Rice | disease |
| Identification of optimal phenological periods for summer maize yield prediction using UAV-based multispectral data | 25-02 | Maize | yield, multispectral |
| Integration of UAV Multispectral Remote Sensing and Random Forest for Full-Growth Stage Monitoring of Wheat Dynamics | 25-02 | Wheat | growth, multispectral |
| Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” | 25-02 | Maize | chlorophyll |
| Inversion of Soil Moisture Content in Silage Corn Root Zones Based on UAV Remote Sensing | 25-02 | Maize | soil moisture, silage |
| Latent detection of anthracnose on strawberry crop using multi-spectral imaging | 25-02 | Strawberry | disease |
| Mapping of insect pest infestation for precision agriculture: A UAV-based multispectral imaging and deep learning techniques | 25-02 | N/A | insect, multispectral |
| Nitrogen Fertilizer Effects on Hemp Biomass Production Detected by Drone-based Spectral Imaging | 25-02 | Hemp | nitrogen, biomass |
| Precise Drought Threshold Monitoring in Winter Wheat Different Growth Periods Using a Multispectral Unmanned Aerial Vehicle | 25-02 | Wheat | water stress, multispectral |
| Precision Agriculture: Temporal and Spatial Modeling of Wheat Canopy Spectral Characteristics | 25-02 | Wheat | growth |
| Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field-and regional-scale | 25-02 | Maize | yield |
| UAV-Based Remote Sensing Monitoring of Maize Growth Using Comprehensive Indices | 25-02 | Maize | growth |
| UAV-based rice aboveground biomass estimation using a random forest model with multi-organ feature selection | 25-02 | Rice | biomass |
| Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed | 25-02 | Maize | weed, multispectral |
| A study on optimal input images for rice yield prediction models using CNN with UAV imagery and its reasoning using explainable AI | 25-01 | Rice | yield |
| Aerial remote sensing system to control pathogens and diseases in broccoli crops with the use of artificial vision | 25-01 | Broccoli | disease |
| Characterization of Hazelnut Trees in Open Field Through High-Resolution UAV-Based Imagery and Vegetation Indices | 25-01 | Hazelnut | |
| Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield | 25-01 | Wheat | yield, multispectral |
| Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat | 25-01 | Wheat | nitrogen |
| Improvement of Citrus Yield Prediction Using UAV Multispectral Images and the CPSO Algorithm | 25-01 | Citrus | yield, multispectral |
| Mapping Spatial Variability of Sugarcane Foliar Nitrogen, Phosphorus, Potassium and Chlorophyll Concentrations Using Remote Sensing | 25-01 | Sugarcane | nitrogen, chlorophyll |
| Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion | 25-01 | Maize | chlorophyll |
| Monitoring Yield and Quality of Forages and Grassland in the View of Precision Agriculture Applications—A Review | 25-01 | Grassland | yield, quality |
| Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm | 25-01 | Maize | height |
| Remote Sensing-Assisted Estimation of Water Use in Apple Orchards with Permanent Living Mulch | 25-01 | Apple | irrigation |
| UAV Remote Sensing Technology for Wheat Growth Monitoring in Precision Agriculture: Comparison of Data Quality and Growth Parameter Inversion | 25-01 | Wheat | growth, quality |
| Unmanned-Aerial-Vehicle-Based Multispectral Monitoring of Nitrogen Content in Canopy Leaves of Processed Tomatoes | 25-01 | Tomato | nitrogen, multispectral |
| Autonomous Yield Estimation System for Small Commercial Orchards Using UAV and AI | 24-12 | orchard | yield |
| Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data | 24-12 | Coconut | counting |
| Data Preprocessing Pipeline for UAS Imagery in Agriculture (Thesis) | 24-12 | N/A | image processing |
| Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoring | 24-12 | Tomato | dataset, multispecral |
| Drone imagery dataset for early-season weed classification in maize and tomato crops | 24-12 | Maize, Tomato | weed |
| Drone-Based Multi-spectral Pipeline for Detecting Abnormal Potato Strains in the Field | 24-12 | Potato | disease |
| DSCONV-GAN: a UAV-BASED model for Verticillium Wilt disease detection in Chinese cabbage in complex growing environments | 24-12 | Cabbage | disease |
| EXAMINATION OF RED CLOVER OPTIMUM HARVESTING STATUS IN SEED PRODUCTION WITH UNMANNED AERIAL SYSTEMS (UAS) | 24-12 | Red clover | |
| Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping | 24-12 | Potato | multispectral |
| From images to loci: Applying 3D deep learning to enable multivariate and multi-temporal digital phenotyping and mapping genetics underlying nitrogen use efficiency in wheat | 24-12 | Wheat | nitrogen |
| High throughput phenotyping in soybean breeding using RGB image vegetation indices based on drone | 24-12 | Soybean | breeding |
| NDVI Estimation Throughout the Whole Growth Period of Multi-Crops Using RGB Images and Deep Learning | 24-12 | multiple | NDVI, growth |
| Nitrogen Fertilizer Placement and Rate Impacts Sunflower Seed Yield, Oil and Protein Content (Thesis) | 24-12 | Sunflower | yield, quality |
| Optimizing machine learning models for wheat yield estimation using a comprehensive UAV dataset | 24-12 | Wheat | yield |
| Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning | 24-12 | Rice | grain moisture, multispectral |
| Rice Yield Estimation Based on Cumulative Time Series Vegetation Indices of UAV MS and RGB Images | 24-12 | Rice | yield |
| Suitable vegetation indices for predicting sugarcane Brix content in the field | 24-12 | Sugarcane | |
| UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods | 24-12 | Maize | lodging, multispectral |
| Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean | 24-12 | Mungbean | |
| Using Data-Driven Computer Vision Techniques to Improve Wheat Yield Prediction | 24-12 | Wheat | yield |
| Will drones in plant protection reduce the use of chemical pesticides? | 24-12 | N/A | plant protection |
| Accurate Prediction of 327 Rice Variety Growth Period Based on Unmanned Aerial Vehicle Multispectral Remote Sensing | 24-11 | Rice | growth, multispectral |
| Analysis of Growth Variation in Maize Leaf Area Index Based on Time-Series Multispectral Images and Random Forest Models | 24-11 | Maize | growth, LAI, multispectral |
| Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review | 24-11 | N/A | AI |
| Assessing Weed Canopy Cover in No-Till and Conventional Tillage Plots in Winter Wheat Production Using Drone Data | 24-11 | Wheat | weed |
| Assessment of UAV-Based Deep Learning for Corn Crop Analysis in Midwest Brazil | 24-11 | Maize | |
| Automating grapevine LAI features estimation with UAV imagery and machine learning | 24-11 | Grape | LAI |
| Combining UAV Multispectral and Thermal Infrared Data for Maize Growth Parameter Estimation | 24-11 | Maize | growth, multispectral, thermal |
| Detecting Environmental Stress In Agriculture Using Satellite Imagery And Spectral Indices | 24-11 | N/A | satellite |
| High-throughput phenotypic traits estimation of faba bean based on machine learning and drone-based multimodal data | 24-11 | Faba bean | |
| Plant-level prediction of potato yield using machine learning and unmanned aerial vehicle (UAV) multispectral imagery | 24-11 | Potato | yield, multispectral |
| Prediction of Turfgrass Quality Using Multispectral UAV Imagery and Ordinal Forests: Validation Using a Fuzzy Approach | 24-11 | Turfgrass | quality, multispectral |
| Research on Soybean Seedling Stage Recognition Based on Swin Transformer | 24-11 | Soybean | |
| UAV multispectral remote sensing for agriculture: A comparative study of radiometric correction methods under varying illumination conditions | 24-11 | N/A | multispectral |
| Using Multi-Sensor Data Fusion Techniques and Machine Learning Algorithms for Improving UAV-Based Yield Prediction of Oilseed Rape | 24-11 | Oilseed rape | yield, multispectral |
| A Comprehensive Survey of Drones for Turfgrass Monitoring | 24-10 | Turfgrass | |
| Advanced Plant Phenotyping: Unmanned Aerial Vehicle Remote Sensing and CimageA Software Technology for Precision Crop Growth Monitoring | 24-10 | multiple | image processing |
| An Integrated Approach: Watershed Segmentation with Local Maxima and Minima Algorithms for Tree Crown Delineation of Mango (Mangifera indica) using UAV Multispectral Imagery | 24-10 | Mango | multispectral |
| Effects of Variety and Growth Stage on UAV Multispectral Estimation of Plant Nitrogen Content of Winter Wheat | 24-10 | Wheat | nitrogen, multispectral |
| Estimation of forage biomass in oat (Avena sativa) using agronomic variables through UAV multispectral imaging | 24-10 | Oat | biomass, multispectral |
| Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs | 24-10 | Wheat | breeding, LAI, multispectral |
| Influence of Spatial Scale Effect on UAV Remote Sensing Accuracy in Identifying Chinese Cabbage (Brassica rapa subsp. Pekinensis) Plants | 24-10 | Cabbage | image processing |
| Integrating multi-source remote sensing and machine learning for root-zone soil moisture and yield prediction of winter oilseed rape (Brassica napus L.): A new perspective from the temperature-vegetation index feature space | 24-10 | Oilseed rape | yield, soil moisture, multispectral |
| Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection | 24-10 | N/A | disease, pest |
| Manure‐biochar blends effectively reduce nutrient leaching and increase water retention in a sandy, agricultural soil: Insights from a field experiment | 24-10 | N/A | soil, amendment |
| SOIL MOISTURE OF CORN CROPS IN A CONSERVATION AGRICULTURE SYSTEMS CAN BE ESTIMATED WITH RGB AND INFRARED IMAGES | 24-10 | Maize | soil moisture, multispectral |
| Spatial analysis with unoccupied aircraft systems data in wheat breeding yield trials | 24-10 | Wheat | breeding |
| UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation | 24-10 | Wheat | growth, multispectral |
| Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping | 24-10 | multiple | AI, image processing |
| Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review | 24-10 | Grassland | |
| Using UAV Images and Phenotypic Traits to Predict Potato Morphology and Yield in Peru | 24-10 | Potato | yield |
| Water Stress Detection in Potato Crops Using Multispectral Imaging and Advanced Object Detection Models (Thesis) | 24-10 | Potato | water stress, multispectral |
| An enhanced chlorophyll estimation model with a canopy structural trait in maize crops: Use of multi-spectral UAV images and machine learning algorithm | 24-09 | Maize | chlorophyll, multispectral |
| Assessing Plant Pigmentation Impacts: A Novel Approach Integrating UAV and Multispectral Data to Analyze Atrazine Metabolite Effects from Soil Contamination | 24-09 | N/A | herbicide, multispectral |
| Assessing the Impact of UAV Flight Altitudes on the Accuracy of Multispectral Indices | 24-09 | Wheat | image acquisition, multispectral |
| Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data | 24-09 | Typha | biomass, multispectral |
| Combining UAV Multi-Source Remote Sensing Data with CPO-SVR to Estimate Seedling Emergence in Breeding Sunflowers | 24-09 | Sunflower | breeding |
| Crop water stress detection based on UAV remote sensing systems | 24-09 | N/A | water stress, multispectral |
| Efficient Physics-informed Transfer Learning to Quantify Biochemical Traits of Winter Wheat from UAV Multispectral Imagery | 24-09 | Wheat | quality, multispectral |
| Estimation of corn nitrogen demand under different irrigation conditions based on UAV multispectral technology | 24-09 | Maize | nitrogen, irrigation, multispectral |
| Estimation of Cotton SPAD Based on Multi-Source Feature Fusion and Voting Regression Ensemble Learning in Intercropping Pattern of Cotton and Soybean | 24-09 | Cotton | growth, multispectral |
| EVALUATING THE APPLICABILITY OF PASSIVE REMOTE SENSING TECHNOLOGY WITH A MULTIROTOR DRONE IN PRECISION VITICULTURE | 24-09 | Grape | NDVI, multispectral |
| Evaluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived from RGB-Based UAV Images and Machine Learning Models | 24-09 | Sugarcane | growth |
| From Fields to Pixels: UAV Multispectral and Field-Captured RGB Imaging for High-Throughput Wheat Spike and Kernel Counting | 24-09 | Wheat | counting, multispectral |
| Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content | 24-09 | Sorghum | nitrogen, AI |
| Identification of infesting plants in monoculture fields through CNNs from UAV imagery (Thesis) | 24-09 | multiple | disease, image processing |
| Image Analysis Artificial Intelligence Technologies for Plant Phenotyping: Current State of the Art | 24-09 | N/A | image processing, AI |
| Improving Pearl Millet Yield Estimation From UAV Imagery in the Semiarid Agroforestry System of Senegal Through Textural Indices and Reflectance Normalization | 24-09 | Pearl Millet | yield, multispectral |
| In-situ and remote sensing characterization of salinity-affected agricultural areas in the Po River Delta (Thesis) | 24-09 | N/A | soil salinity, multispectral |
| Rice yield prediction through drone-derived vegetation indices: A case study in Tamil Nadu, India | 24-09 | Rice | yield |
| Spatio-temporal mapping of leaf area index in rice: spectral indices and multi-scale texture comparison derived from different sensors | 24-09 | Rice | LAI, multispectral |
| The hawk eye scan: Halyomorpha halys detection relying on aerial tele photos and neural networks | 24-09 | orchard | insect |
| Unoccupied-Aerial-Systems-Based Biophysical Analysis of Montmorency Cherry Orchards: A Comparative Study | 24-09 | Cherry | height, LAI |
| Use of UAVs’ multispectral images for sugar beet cultivars discrimination and yield estimation | 24-09 | Sugar beet | yield, multispectral |
| Accurate Characterization of Soil Moisture in Wheat Fields with an Improved Drought Index from Unmanned Aerial Vehicle Observations | 24-08 | Wheat | soil moisture, multispectral |
| Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV | 24-08 | Grape | water stress, multispectral |
| Efficient detection of cotton verticillium wilt by combining satellite time series data and multi-view UAV images | 24-08 | Cotton | disease |
| Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards | 24-08 | Grape | water stress, multispectral |
| Harnessing Image Processing for Precision Disease Diagnosis in Sugar beet Agriculture | 24-08 | Sugar beet | disease, image processing |
| How can aerial imagery and vegetation indices algorithms monitor the geotagged crop? | 24-08 | N/A | |
| Monitoring Maize Canopy Chlorophyll Content throughout the Growth Stages Based on UAV MS and RGB Feature Fusion | 24-08 | Maize | chlorophyll, multispectral |
| Phenotyping for Effects of Drought Levels in Quinoa Using Remote Sensing Tools | 24-08 | Quinoa | water stress, multispectral |
| Research on the Identification of Wheat Fusarium Head Blight Based on Multispectral Remote Sensing from UAVs | 24-08 | Wheat | disease, multispectral |
| Semantic Segmentation for Plant Leaf Disease Classification and Damage Detection: A Deep Learning Approach | 24-08 | multiple | disease, AI |
| Spinel: a framework for counting wheat spikes and kernels using UAV and ground-based imaging in breeding fields (Thesis) | 24-08 | Wheat | counting, image processing |
| Utilizing Unmanned Aerial Systems (UAS) and Computer Software to Assess Effects of Cover Crops on Cash Crop Volumetric Mass and Plant Height | 24-08 | Cover crops | biomass, height |
| Visible Spectrum Image Analysis For Estimation of Phenological Stages in Irrigated Bean Cropping | 24-08 | Bean | |
| Estimating Leaf Chlorophyll Content of Winter Wheat from UAV Multispectral Images Using Machine Learning Algorithms under Different Species, Growth Stages, and Nitrogen Stress Conditions | 24-07 | Wheat | chlorophyll, multispectral, nitrogen |
| From pixels to plant health: accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning | 24-07 | Banana | disease |
| High‐throughput phenotyping platforms for pulse crop biofortification | 24-07 | Pulse crops | breeding |
| In-season Nitrogen Prediction and Evaluation using Airborne Imagery and AI Techniques in Commercial Potato Production | 24-07 | Potato | nitrogen, AI |
| Research on Estimating Potato Fraction Vegetation Coverage (FVC) Based on the Vegetation Index Intersection Method | 24-07 | Potato | growth |
| Unmanned Aerial Vehicle-Measured Multispectral Vegetation Indices for Predicting LAI, SPAD Chlorophyll, and Yield of Maize | 24-07 | Maize | yield, LAI, chlorophyll |
| A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species | 24-06 | multiple | nitrogen, dataset |
| Artificial Intelligence for Airborne Phenotyping (Thesis) | 24-06 | Wheat | disease, AI, multispectral |
| Computer vision in smart agriculture and precision farming: Techniques and applications | 24-06 | N/A | image processing, AI |
| Dataset Generation and Automation to Detect Colony of Morning Glory at Growing Season Using Alignment of Two Season’s Orthomosaic Images Taken by Drone | 24-06 | Soybean | weed |
| Efficient Damage Assessment of Rice Bacterial Leaf Blight Disease in Agricultural Insurance Using Unmanned Aerial Vehicle Image Data | 24-06 | Rice | disease |
| End-to-End Deep Learning Models for Gap Identification in Maize Fields | 24-06 | Maize | counting, multispectral |
| Evapotranspiration Measurements in Pasture Classes, Crops, and Native Cerrado Based on Sensors Embodied on Uavs | 24-06 | Grassland | water stress, multispectral |
| Field Scale Precision: Predicting Grain Yield of Diverse Wheat Breeding Lines Using High-Throughput UAV Multispectral Imaging | 24-06 | Wheat | yield, breeding, multispectral |
| High temporal resolution unoccupied aerial systems phenotyping provides unique information between flight dates | 24-06 | Maize | image acquisition |
| Optimizing winter wheat leaf area index estimation across growth stages using UAV data (Master thesis) | 24-06 | Wheat | LAI |
| Prediction of Phenotypic Parameters of Sugarcane Plants Based on Multispectral Drone Imagery and Machine learning | 24-06 | Sugarcane | height, multispectral |
| Quantification of species composition in grass-clover swards using RGB and multispectral UAV imagery and machine learning | 24-06 | Cover crops | counting, multispectral |
| Wheat Yield Prediction Using Machine Learning Method Based on UAV Remote Sensing Data | 24-06 | Wheat | yield |
| A systematic review on precision agriculture applied to sunflowers, the role of hyperspectral imaging (May 2024) | 24-05 | Sunflower | |
| EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds and Orthomosaics | 24-05 | Grape | disease |
| Estimating the Aboveground FreshWeight of Sugarcane Using Multispectral Images and Light Detection and Ranging (LiDAR) | 24-05 | Sugarcane | biomass, multispectral, LIDAR |
| Examining the Percent Canopy Cover and Health of Winter Wheat in No-Till and Conventional Tillage Plots Using a Drone | 24-05 | Wheat | disease, canopy cover |
| Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize | 24-05 | Maize | yield, height, breeding |
| Method for Monitoring Wheat Growth Status and Estimating Yield Based on UAV Multispectral Remote Sensing | 24-05 | Wheat | growth, yield, multispectral |
| Multi-Altitude Corn Tassel Detection and Counting Based on UAV RGB Imagery and Deep Learning | 24-05 | Maize | counting, image acquisition |
| Potential of Remote Sensing Technologies for Maize (Zea mays L.) Breeding (Thesis) | 24-05 | Maize | |
| Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms | 24-05 | multiple | |
| Application of Artificial Intelligence and Sensor Fusion for Soil Organic Matter Prediction | 24-04 | N/A | soil, NDVI |
| Assessing the Severity of VerticilliumWilt in Cotton Fields and Constructing Pesticide Application Prescription Maps Using Unmanned Aerial Vehicle (UAV) Multispectral Images | 24-04 | Cotton | disease, multispectral |
| Drone-based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review | 24-04 | multiple | |
| Evaluation of Mosaic Image Quality and Analysis of Influencing Factors Based on UAVs | 24-04 | N/A | image acquisition |
| Mapping Maize Planting Densities Using Unmanned Aerial Vehicles, Multispectral Remote Sensing, and Deep Learning Technology | 24-04 | Maize | counting, multispectral |
| Sensing and automatic scoring of sugar-beet fields by using UAV-imagery systems for disease quantification (Thesis) | 24-04 | Sugar beet | disease |
| Adoption of unoccupied aerial systems in agricultural research | 24-03 | N/A | |
| Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation | 24-03 | multiple | yield, biomass |
| Inversion of winter wheat leaf area index from UAV multispectral images: classical vs. deep learning approaches | 24-03 | Wheat | LAI, multispectral |
| Yield Prediction Using NDVI Values from GreenSeeker and MicaSense Cameras at Different Stages of Winter Wheat Phenology | 24-03 | Wheat | yield, NDVI |
| Application of drone to aid in the evaluation of trials in cotton cultivation | 24-02 | Cotton | disease, pest |
| Assessing relationships of cover crop biomass and nitrogen content to multispectral imagery | 24-02 | Cover crops | nitrogen, biomass, multispectral |
| Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey | 24-01 | N/A | |
| Automatic Monitoring of Maize Seedling Growth Using Unmanned Aerial Vehicle-Based RGB Imagery | 23-07 | Maize | counting, growth, canopy cover |
| Phenomic and genomic prediction of yield on multiple locations in winter wheat | 23-05 | Wheat | yield |
| Application of UAS-Based Remote Sensing in Estimating Winter Wheat Phenotypic Traits and Yield During the Growing Season | 23-01 | Wheat | yield, biomass, height, LAI |
| Classification of Maize Lodging Extents Using Deep Learning Algorithms by UAV-Based RGB and Multispectral Images | 22-07 | Maize | lodging, multispectral, AI |
| Predicting grain protein concentration in winter wheat (Triticum aestivum L.) based on unpiloted aerial vehicle multispectral optical remote sensing | 22-05 | Wheat | quality |
| Assessing the Self-Recovery Ability of Maize after Lodging Using UAV-LiDAR Data | 21-06 | Maize | LIDAR |
| Wheat Yield Estimation with NDVI Values Using a Proximal Sensing Tool (Aug 2020) | 20-08 | Wheat | yield, NDVI |
| A High-Throughput Model-Assisted Method for Phenotyping Maize Green Leaf Area Index Dynamics Using Unmanned Aerial Vehicle Imagery | 19-06 | Maize | LAI, multispectral |
| High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates | 17-11 | Wheat | height, LIDAR |