Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery

Ultrasonic Arrays for Remote Sensing of Pasture Biomass

(2020) Mathew Legg et al.   Remote Sensing

Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging

(2020) Bo Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements

(2020) Lucas Prado Osco et al.   Remote Sensing

A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images

(2020) Gabriela Takahashi Miyoshi et al.   Remote Sensing

Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil

(2020) Marcus V. N. d’Oliveira et al.   Remote Sensing

Comparison of machine learning algorithms for classification of LiDAR points for characterization of canola canopy structure

(2019) Lian Wu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A systematic review on deep learning architectures and applications

(2019) Aditya Khamparia et al.   EXPERT SYSTEMS

Prospects for Measurement of Dry Matter Yield in Forage Breeding Programs Using Sensor Technologies

(2019) Alem Gebremedhin et al.   Agronomy-Basel

Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

(2019) Puyu Feng et al.   AGRICULTURAL SYSTEMS

UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning

(2019) Jaafar Abdulridha et al.   Remote Sensing

Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry

(2019) Juliana Batistoti et al.   Remote Sensing

Remote sensing for agricultural applications: A meta-review

(2019) M. Weiss et al.   REMOTE SENSING OF ENVIRONMENT

Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery

(2019) Lucas Prado Osco et al.   Remote Sensing

Deep learning in agriculture: A survey

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

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

(2018) Tao Liu et al.   GIScience & Remote Sensing

Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks

(2018) Zhun Fan et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Onion biomass monitoring using UAV-based RGB imaging

(2018) Rocio Ballesteros et al.   PRECISION AGRICULTURE

Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features

(2018) Roope Näsi et al.   Remote Sensing

Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning

(2018) Kyle Loggenberg et al.   Remote Sensing

Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images

(2018) M Bah et al.   Remote Sensing

Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network

(2018) Juncheng Ma et al.   EUROPEAN JOURNAL OF AGRONOMY

Remote sensing as a tool to assess botanical composition, structure, quantity and quality of temperate grasslands

(2017) M. Wachendorf et al.   GRASS AND FORAGE SCIENCE

Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks

(2017) Rasha Alshehhi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluating remotely sensed plant count accuracy with differing unmanned aircraft system altitudes, physical canopy separations, and ground covers

(2017) Josue Nahun Leiva et al.   Journal of Applied Remote Sensing

Fusion of Ultrasonic and Spectral Sensor Data for Improving the Estimation of Biomass in Grasslands with Heterogeneous Sward Structure

(2017) Thomas Moeckel et al.   Remote Sensing

Advanced Spectral Classifiers for Hyperspectral Images: A review

(2017) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Magazine

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

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

The value of improved pastures to Brazilian beef production

(2014) Liana Jank et al.   Crop & Pasture Science

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

ROC curves for regression

(2013) José Hernández-Orallo   PATTERN RECOGNITION

Spectroscopic Determination of Aboveground Biomass in Grasslands Using Spectral Transformations, Support Vector Machine and Partial Least Squares Regression

(2013) Miguel Marabel et al.   SENSORS