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。Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses
Tom De Swaef et al.
REMOTE SENSING (2021)
Vegetation Indices Data Clustering for Dynamic Monitoring and Classification of Wheat Yield Crop Traits
Stefano Marino et al.
REMOTE SENSING (2021)
High throughput can produce better decisions than high accuracy when phenotyping plant populations
Holly M. Lane et al.
CROP SCIENCE (2021)
Validation of functional polymorphisms affecting maize plant height by unoccupied aerial systems discovers novel temporal phenotypes
Alper Adak et al.
G3-GENES GENOMES GENETICS (2021)
The importance of spectral correction of UAV-based phenotyping with RGB cameras
Jesper Svensgaard et al.
FIELD CROPS RESEARCH (2021)
Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression
Alper Adak et al.
REMOTE SENSING (2021)
Farmer perspectives and experiences introducing the novel perennial grain Kernza intermediate wheatgrass in the US Midwest
Marisa Lanker et al.
RENEWABLE AGRICULTURE AND FOOD SYSTEMS (2020)
Applications and Trends of Machine Learning in Genomics and Phenomics for Next-Generation Breeding
Salvatore Esposito et al.
PLANTS-BASEL (2020)
'MN-Clearwater', the first food-grade intermediate wheatgrass (Kernza perennial grain) cultivar
Prabin Bajgain et al.
JOURNAL OF PLANT REGISTRATIONS (2020)
Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci
Steven L. I. I. I. I. Anderson et al.
PLANT DIRECT (2020)
High-Throughput Phenotyping Enabled Genetic Dissection of Crop Lodging in Wheat
Daljit Singh et al.
FRONTIERS IN PLANT SCIENCE (2019)
Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment
Carly Stanton et al.
JOURNAL OF APPLIED REMOTE SENSING (2017)
Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
Jibo Yue et al.
REMOTE SENSING (2017)
Monitoring of Wheat Growth Status and Mapping of Wheat Yield's within-Field Spatial Variations Using Color Images Acquired from UAV-camera System
Mengmeng Du et al.
REMOTE SENSING (2017)
High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling
Kakeru Watanabe et al.
FRONTIERS IN PLANT SCIENCE (2017)
Crop height monitoring with digital imagery from Unmanned Aerial System (UAS)
Anjin Chang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system
Wang Li et al.
ECOLOGICAL INDICATORS (2016)
Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?
Jesper Rasmussen et al.
EUROPEAN JOURNAL OF AGRONOMY (2016)
Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China
Wang Li et al.
ECOLOGICAL INDICATORS (2015)
Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops
Angela Kross et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
Juliane Bendig et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)
Genomic Selection for Predicting Fusarium Head Blight Resistance in a Wheat Breeding Program
Marcio P. Arruda et al.
PLANT GENOME (2015)
Sensing technologies for precision specialty crop production
W. S. Lee et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)
Development and status of dedicated energy crops in the United States
Russell W. Jessup
IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-PLANT (2009)
Verification of color vegetation indices for automated crop imaging applications
George E. Meyer et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Assessing vineyard condition with hyperspectral indices:: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
PJ Zarco-Tejada et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Factors affecting the grain yield predicting attributes of spectral reflectance indices in durum wheat: growing conditions, genotype variability and date of measurement
J Bort et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Remote sensing -: Monitoring maize (Zea mays L.) phenology with remote sensing
A Viña et al.
AGRONOMY JOURNAL (2004)
Using satellite and field data with crop growth modeling to monitor and estimate corn yield in Mexico
AD Báez-González et al.
CROP SCIENCE (2002)
分享论文
