Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice

Predicting within-field variability in grain yield and protein content of winter wheat using UAV-based multispectral imagery and machine learning approaches

(2020) Xinbin Zhou et al.   PLANT PRODUCTION SCIENCE

Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

(2019) Ning Lu et al.   Plant Methods

Combining hyperspectral imagery and LiDAR pseudo-waveform for predicting crop LAI, canopy height and above-ground biomass

(2019) Shezhou Luo et al.   ECOLOGICAL INDICATORS

Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation

(2019) Songyang Li et al.   Remote Sensing

Simulation of Reflectance and Vegetation Indices for Unmanned Aerial Vehicle (UAV) Monitoring of Paddy Fields

(2019) Naoyuki Hashimoto et al.   Remote Sensing

A simple visible and near-infrared (V-NIR) camera system for monitoring the leaf area index and growth stage of Italian ryegrass

(2018) Xinyan Fan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

(2018) Rasmus Houborg et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimation of paddy rice leaf area index using machine learning methods based on hyperspectral data from multi-year experiments

(2018) Li Wang et al.   PLoS One

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture

(2018) Wouter H. Maes et al.   TRENDS IN PLANT SCIENCE

Assessment of red-edge vegetation indices for crop leaf area index estimation

(2018) Taifeng Dong et al.   REMOTE SENSING OF ENVIRONMENT

Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms

(2017) Yuanhui Zhu et al.   Remote Sensing

Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?

(2016) Jesper Rasmussen et al.   EUROPEAN JOURNAL OF AGRONOMY

Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation

(2016) Yoshio Inoue et al.   PLANT CELL AND ENVIRONMENT

Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

(2016) Xiaodong Song et al.   Journal of Arid Land

Estimating the crop leaf area index using hyperspectral remote sensing

(2016) Ke LIU et al.   Journal of Integrative Agriculture

Estimating the Biomass of Maize with Hyperspectral and LiDAR Data

(2016) Cheng Wang et al.   Remote Sensing

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops

(2015) Angela Kross et al.   International Journal of Applied Earth Observation and Geoinformation

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

(2015) Juliane Bendig et al.   International Journal of Applied Earth Observation and Geoinformation

Deep learning

(2015) Yann LeCun et al.   NATURE

Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method

(2015) Liang Liang et al.   REMOTE SENSING OF ENVIRONMENT

Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: Intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods

(2014) Hongliang Fang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Estimation of rice growth and nitrogen nutrition status using color digital camera image analysis

(2013) Kyu-Jong Lee et al.   EUROPEAN JOURNAL OF AGRONOMY

Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment

(2012) Scott C. Stark et al.   ECOLOGY LETTERS

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Integration of MODIS LAI and vegetation index products with the CSM–CERES–Maize model for corn yield estimation

(2011) Hongliang Fang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Assessment of digital camera-derived vegetation indices in quantitative monitoring of seasonal rice growth

(2011) Toshihiro Sakamoto et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

(2011) Jochem Verrelst et al.   REMOTE SENSING OF ENVIRONMENT

Verification of color vegetation indices for automated crop imaging applications

(2008) George E. Meyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index

(2007) Benoît Duchemin et al.   ENVIRONMENTAL MODELLING & SOFTWARE