Nothing Special   »   [go: up one dir, main page]

Khodjaev et al., 2024 - Google Patents

Combining multiple UAV-Based indicators for wheat yield estimation, a case study from Germany

Khodjaev et al., 2024

View PDF
Document ID
4839992768019583412
Author
Khodjaev S
Kuhn L
Bobojonov I
Glauben T
Publication year
Publication venue
European Journal of Remote Sensing

External Links

Snippet

Unmanned aircraft vehicles (UAV) are widely used for yield estimations in agricultural production. Many significant improvements have been made towards the usage of hyperspectral and thermal sensors. The practical application of these new techniques …
Continue reading at www.tandfonline.com (PDF) (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
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0639Performance analysis
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis

Similar Documents

Publication Publication Date Title
Feng et al. Yield estimation in cotton using UAV-based multi-sensor imagery
Panek et al. Analysis of relationship between cereal yield and NDVI for selected regions of Central Europe based on MODIS satellite data
Raj et al. Precision agriculture and unmanned aerial Vehicles (UAVs)
Shang et al. Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario, Canada
Ballesteros et al. Combined use of agro-climatic and very high-resolution remote sensing information for crop monitoring
Liu et al. Quantitative analysis and hyperspectral remote sensing of the nitrogen nutrition index in winter wheat
Nuarsa et al. Spectral characteristics and mapping of rice plants using multi-temporal Landsat data
Almeida et al. ASTER and Landsat ETM+ images applied to sugarcane yield forecast
Cho et al. Hyperspectral predictors for monitoring biomass production in Mediterranean mountain grasslands: Majella National Park, Italy
Mehdaoui et al. Exploitation of the red-edge bands of Sentinel 2 to improve the estimation of durum wheat yield in Grombalia region (Northeastern Tunisia)
Chen et al. Retrieval of cotton plant water content by UAV-based vegetation supply water index (VSWI)
Khellouk et al. Spatiotemporal monitoring of surface soil moisture using optical remote sensing data: a case study in a semi-arid area
Felderhof et al. Near-infrared imagery from unmanned aerial systems and satellites can be used to specify fertilizer application rates in tree crops
Caturegli et al. GeoEye-1 satellite versus ground-based multispectral data for estimating nitrogen status of turfgrasses
She et al. Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data
WO2018107245A1 (en) Detection of environmental conditions
Khodjaev et al. Combining multiple UAV-Based indicators for wheat yield estimation, a case study from Germany
Jewan et al. The feasibility of using a low-cost near-infrared, sensitive, consumer-grade digital camera mounted on a commercial UAV to assess Bambara groundnut yield
Zhou et al. Remote sensing of regional-scale maize lodging using multitemporal GF-1 images
Verma et al. Modelling of sugarcane yield using LISS-IV data based on ground LAI and yield observations
Hassan et al. Modeling and monitoring wheat crop yield using geospatial techniques: a case study of Potohar region, Pakistan
Xie Combining CERES-Wheat model, Sentinel-2 data, and deep learning method for winter wheat yield estimation
Shanmugapriya et al. Cotton yield prediction using drone derived LAI and chlorophyll content
Zhou et al. Improving grain yield prediction through fusion of multi-temporal spectral features and agronomic trait parameters derived from UAV imagery
Boschetti et al. Estimation of rice production at regional scale with a Light Use Efficiency model and MODIS time series.