[go: up one dir, main page]

Vélez et al., 2023 - Google Patents

Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain

Vélez et al., 2023

View HTML
Document ID
1588376939199489483
Author
Vélez S
Ariza-Sentís M
Valente J
Publication year
Publication venue
Data in Brief

External Links

Snippet

Remote sensing makes it possible to gather data rapidly, precisely, accurately, and non- destructively, allowing it to assess grapevines accurately in near real-time. In addition, multispectral cameras capture information in different bands, which can be combined to …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details

Similar Documents

Publication Publication Date Title
Raeva et al. Monitoring of crop fields using multispectral and thermal imagery from UAV
Pádua et al. UAS, sensors, and data processing in agroforestry: A review towards practical applications
Delavarpour et al. A technical study on UAV characteristics for precision agriculture applications and associated practical challenges
US11050979B2 (en) Systems and methods for agricultural monitoring
Thapa et al. Assessing forest phenology: a multi-scale comparison of near-surface (UAV, spectral reflectance sensor, phenocam) and satellite (MODIS, sentinel-2) remote sensing
Agudo et al. The potential of drones and sensors to enhance detection of archaeological cropmarks: A comparative study between multi-spectral and thermal imagery
Chen et al. Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images
Vega et al. Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop
Zhang et al. Applications of low altitude remote sensing in agriculture upon farmers' requests–a case study in northeastern Ontario, Canada
Vélez et al. Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain
Chu et al. Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery
dos Santos et al. Biophysical parameters of coffee crop estimated by UAV RGB images
Mafanya et al. Radiometric calibration framework for ultra-high-resolution UAV-derived orthomosaics for large-scale mapping of invasive alien plants in semi-arid woodlands: Harrisia pomanensis as a case study
Saura et al. Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images
Ariza-Sentís et al. Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking
Mirka et al. Evaluation of thermal infrared imaging from uninhabited aerial vehicles for arboreal wildlife surveillance
Niemitalo et al. A year acquiring and publishing drone aerial images in research on agriculture, forestry, and private urban gardens
Fadeev et al. Use of remote sensing data and GIS technologies for monitoring stocks of medicinal plants: problems and prospects
Fonseka et al. A dataset of unmanned aerial vehicle multispectral images acquired over a field to identify nitrogen requirements
Silva et al. Mapping two competing grassland species from a low-altitude Helium balloon
Flynn et al. UAV‐derived greenness and within‐crown spatial patterning can detect ash dieback in individual trees
Gil-Docampo et al. Plant survival monitoring with UAVs and multispectral data in difficult access afforested areas
Zhang et al. Data on three-year flowering intensity monitoring in an apple orchard: A collection of RGB images acquired from unmanned aerial vehicles
Slave Analysis of agricultural areas using satellite images
Helvey Application of thermal and ultraviolet sensors in remote sensing of upland ducks