相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Estimation of forage biomass and vegetation cover in grasslands using UAV imagery
Jerome Theau et al.
PLOS ONE (2021)
Cattle detection and counting in UAV images based on convolutional neural networks
Wen Shao et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2020)
A compilation of UAV applications for precision agriculture
Panagiotis Radoglou-Grammatikis et al.
COMPUTER NETWORKS (2020)
Estimation of spatial and temporal variability of pasture growth and digestibility in grazing rotations coupling unmanned aerial vehicle (UAV) with crop simulation models
Juan R. Insua et al.
PLOS ONE (2019)
Estimating Forage Utilization with Drone-Based Photogrammetric Point Clouds
Jeffrey K. Gillan et al.
RANGELAND ECOLOGY & MANAGEMENT (2019)
Predicting the quality of ryegrass using hyperspectral imaging
Paul R. Shorten et al.
PLANT METHODS (2019)
Monitoring sugarcane growth response to varying nitrogen application rates: A comparison of UAV SLAM LiDAR and photogrammetry
Jeremy Sofonia et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)
Development and Validation of a Model to Combine NDVI and Plant Height for High-Throughput Phenotyping of Herbage Yield in a Perennial Ryegrass Breeding Program
Alem Gebremedhin et al.
REMOTE SENSING (2019)
Using Sensors and Unmanned Aircraft Systems for High-Throughput Phenotyping of Biomass in Perennial Ryegrass Breeding Trials
Junping Wang et al.
FRONTIERS IN PLANT SCIENCE (2019)
Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery
Junfeng Gao et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)
Fast Semi-Supervised Unmixing of Hyperspectral Image by Mutual Coherence Reduction and Recursive PCA
Samiran Das et al.
REMOTE SENSING (2018)
Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images
M. Dian Bah et al.
REMOTE SENSING (2018)
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
Telmo Adao et al.
REMOTE SENSING (2017)
Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
Fernando Perez-Sanz et al.
GIGASCIENCE (2017)
Spectral mixture analysis (SMA) and change vector analysis (CVA) methods for monitoring and mapping land degradation/desertification in arid and semiarid areas (Sudan), using Landsat imagery
Abdelrahim A. M. Salih et al.
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES (2017)
Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research
Yeyin Shi et al.
PLOS ONE (2016)
Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review
Sindhuja Sankaran et al.
EUROPEAN JOURNAL OF AGRONOMY (2015)
Evaluating the relationship between biomass, percent groundcover and remote sensing indices across six winter cover crop fields in Maryland, United States
Kusuma Prabhakara et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)
Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution
Jose M. Pena et al.
SENSORS (2015)
Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management
Francisco-Javier Mesas-Carrascosa et al.
REMOTE SENSING (2015)
Recent Applications of Spectroscopic and Hyperspectral Imaging Techniques with Chemometric Analysis for Rapid Inspection of Microbial Spoilage in Muscle Foods
Jun-Hu Cheng et al.
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY (2015)
Spectral unmixing of multiple lichen species and underlying substrate
Matthew Morison et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Unmanned aerial systems for photogrammetry and remote sensing: A review
I. Colomina et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)
UAV for 3D mapping applications: a review
Francesco Nex et al.
APPLIED GEOMATICS (2014)
Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management
Jorge Torres-Sanchez et al.
PLOS ONE (2013)
Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor
Dionisio Andujar et al.
SENSORS (2013)
Finding the right pixel size
Tomislav Hengl
COMPUTERS & GEOSCIENCES (2006)
Benefits of accurately allocating feed on a daily basis to dairy cows grazing pasture
WJ Fulkerson et al.
AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE (2005)
Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations
GP Asner et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2002)
Evaluation of herbage yield in a forage grass breeding program: comparison of visual rating versus measurement in single-row plots or swards
KF Smith et al.
AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE (2001)