Related references
Note: Only part of the references are listed.Estimation of rice plant potassium accumulation based on non-negative matrix factorization using hyperspectral reflectance
Jingshan Lu et al.
PRECISION AGRICULTURE (2021)
Rice nitrogen nutrition estimation with RGB images and machine learning methods
Peihua Shi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
Xiuliang Jin et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2021)
Leaf area index estimation using top-of-canopy airborne RGB images
Rahul Raj et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)
Estimating Agricultural Soil Moisture Content through UAV-Based Hyperspectral Images in the Arid Region
Xiangyu Ge et al.
REMOTE SENSING (2021)
Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery
Holly Croft et al.
PRECISION AGRICULTURE (2020)
Remote sensing for agricultural applications: A meta-review
M. Weiss et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images
Huilin Tao et al.
SENSORS (2020)
Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data
Huilin Tao et al.
SENSORS (2020)
Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
Hainie Zha et al.
REMOTE SENSING (2020)
Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle
Zhaopeng Fu et al.
REMOTE SENSING (2020)
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
Bo Li et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard
A. Brook et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model
Shangrong Wu et al.
REMOTE SENSING OF ENVIRONMENT (2020)
A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements
Lucas Prado Osco et al.
REMOTE SENSING (2020)
Integrating satellite data with a Nitrogen Nutrition Curve for precision top-dress fertilization of durum wheat
Carolina Fabbri et al.
EUROPEAN JOURNAL OF AGRONOMY (2020)
Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning
Penglei Li et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)
Qualifications of Rice Growth Indicators Optimized at Different Growth Stages Using Unmanned Aerial Vehicle Digital Imagery
Zhengchao Qiu et al.
REMOTE SENSING (2020)
High-Throughput Switchgrass Phenotyping and Biomass Modeling by UAV
Fei Li et al.
FRONTIERS IN PLANT SCIENCE (2020)
Estimation of Crop Biomass and Leaf Area Index from Multitemporal and Multispectral Imagery Using Machine Learning Approaches
Omid Gahrouei et al.
CANADIAN JOURNAL OF REMOTE SENSING (2020)
Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery
Hengbiao Zheng et al.
PRECISION AGRICULTURE (2019)
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Liang Han et al.
PLANT METHODS (2019)
Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery
Jiang Bian et al.
REMOTE SENSING (2019)
Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
Jibo Yue et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Estimation of Rice Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles
Yanyu Wang et al.
REMOTE SENSING (2019)
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles
Baohua Yang et al.
SENSORS (2019)
Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing
Xiaoyan Zhang et al.
REMOTE SENSING (2019)
In-Season Diagnosis of Winter Wheat Nitrogen Status in Smallholder Farmer Fields Across a Village Using Unmanned Aerial Vehicle-Based Remote Sensing
Zhichao Chen et al.
AGRONOMY-BASEL (2019)
Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
Lucas Prado Osco et al.
REMOTE SENSING (2019)
Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice
Hengbiao Zheng et al.
FRONTIERS IN PLANT SCIENCE (2018)
Potential of UAV-Based Active Sensing for Monitoring Rice Leaf Nitrogen Status
Songyang Li et al.
FRONTIERS IN PLANT SCIENCE (2018)
Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle
T. Duan et al.
FIELD CROPS RESEARCH (2017)
Nitrogen fertilizer sources and tillage effects on cotton growth, yield, and fiber quality in a coastal plain soil
Dexter B. Watts et al.
FIELD CROPS RESEARCH (2017)
Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
Maitiniyazi Maimaitijiang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery
Xiuliang Jin et al.
REMOTE SENSING OF ENVIRONMENT (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)
Evaluating the critical nitrogen dilution curve for storage root crops
E. Chakwizira et al.
FIELD CROPS RESEARCH (2016)
A critical nitrogen dilution curve for japonica rice based on canopy images
Yuan Wang et al.
FIELD CROPS RESEARCH (2016)
Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants
Tiezhu Shi et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)
Vegetation baseline phenology from kilometric global LAI satellite products
Aleixandre Verger et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Machine Learning for High-Throughput Stress Phenotyping in Plants
Arti Singh et al.
TRENDS IN PLANT SCIENCE (2016)
Estimation of biomass in wheat using random forest regression algorithm and remote sensing data
Li'ai Wang et al.
CROP JOURNAL (2016)
Effect of N fertilization rate on soil alkali-hydrolyzable N, subtending leaf N concentration, fiber yield, and quality of cotton
Binglin Chen et al.
CROP JOURNAL (2016)
Using a Simple Leaf Color Chart to Estimate Leaf and Canopy Chlorophyll a Content in Maize (Zea mays)
Anthony Nguy-Robertson et al.
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS (2015)
Combined Use of Airborne LiDAR and Satellite GF-1 Data to Estimate Leaf Area Index, Height, and Aboveground Biomass of Maize During Peak Growing Season
Wang Li et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (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)
Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series
Xiaolin Zhu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)
Discrete Wavelet Transform Approach for the Estimation of Crop Residue Mass From Spectral Reflectance
Anand S. Sahadevan et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring
Grant Wiseman et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Green area index from an unmanned aerial system over wheat and rapeseed crops
Aleixandre Verger et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Critical Nitrogen Dilution Curve for Processing Potato in Argentinean Humid Pampas
Claudia M. Giletto et al.
AMERICAN JOURNAL OF POTATO RESEARCH (2012)
Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat
Wei Wang et al.
FIELD CROPS RESEARCH (2012)
Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest
Olivier W. Tsui et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2012)
An indirect method of estimating leaf area index in Jatropha curcas L. using LAI-2000 Plant Canopy Analyzer
Soumit K. Behera et al.
AGRICULTURAL AND FOREST METEOROLOGY (2010)
Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index-The canopy chlorophyll content index (CCCI)
Glenn Fitzgerald et al.
FIELD CROPS RESEARCH (2010)
Verification of color vegetation indices for automated crop imaging applications
George E. Meyer et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data
J. Verrelst et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Spectral and thermal sensing for nitrogen and water status in rainfed and irrigated wheat environments
G. J. Fitzgerald et al.
PRECISION AGRICULTURE (2006)
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
D Haboudane et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Narrow band vegetation indices overcome the saturation problem in biomass estimation
O Mutanga et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)