Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques

Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning

(2020) Hainie Zha et al.   Remote Sensing

Simulation of plant height of winter wheat under soil Water stress using modified growth functions

(2020) Tengcong Jiang et al.   AGRICULTURAL WATER MANAGEMENT

Comparison of RBF and MLP neural network performance and regression analysis to estimate carbon sequestration

(2020) F. Cheshmberah et al.   International Journal of Environmental Science and Technology

Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review

(2020) Qian Zhang et al.   SENSORS

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

Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing

(2020) Tianyi Wang et al.   Remote Sensing

Traits of plant morphology, stalk mechanical strength, and biomass accumulation in the selection of lodging-resistant maize cultivars

(2020) Jun Xue et al.   EUROPEAN JOURNAL OF AGRONOMY

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

(2020) Katja Berger et al.   REMOTE SENSING OF ENVIRONMENT

Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India

(2020) Sunil Saha et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Hyperspectral Analysis of Leaf Pigments and Nutritional Elements in Tallgrass Prairie Vegetation

(2019) Bohua Ling et al.   Frontiers in Plant Science

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

(2019) Sherrie Wang et al.   REMOTE SENSING OF ENVIRONMENT

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

Spatially-explicit modelling with support of hyperspectral data can improve prediction of plant traits

(2019) Alby D. Rocha et al.   REMOTE SENSING OF ENVIRONMENT

Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

(2019) Aleksandra Wolanin et al.   REMOTE SENSING OF ENVIRONMENT

Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for Brassica Campestris ssp. Chinensis L.

(2019) Xin Xiong et al.   SENSORS

Smallholder maize area and yield mapping at national scales with Google Earth Engine

(2019) Zhenong Jin et al.   REMOTE SENSING OF ENVIRONMENT

Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids

(2019) Ning Yang et al.   Remote Sensing

Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data

(2019) James Brinkhoff et al.   Remote Sensing

Improvement of leaf nitrogen content inference in Valencia-orange trees applying spectral analysis algorithms in UAV mounted-sensor images

(2019) Lucas Prado Osco et al.   International Journal of Applied Earth Observation and Geoinformation

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

(2019) Jie Sun et al.   SENSORS

Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks

(2019) Lucas Prado Osco et al.   Remote Sensing

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

(2019) Alem Gebremedhin et al.   Remote Sensing

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

(2019) Brooke Bruning et al.   Frontiers in Plant Science

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

Selecting training sets for support vector machines: a review

(2018) Jakub Nalepa et al.   ARTIFICIAL INTELLIGENCE REVIEW

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

(2018) Anna Chlingaryan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of cotton lint yield from phenology of crop indices using artificial neural networks

(2018) Amir Haghverdi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Multi-trait multi-environment Bayesian model reveals G x E interaction for nitrogen use efficiency components in tropical maize

(2018) Lívia Gomes Torres et al.   PLoS One

Retrieval of the canopy chlorophyll content from Sentinel-2 spectral bands to estimate nitrogen uptake in intensive winter wheat cropping systems

(2018) Cindy Delloye et al.   REMOTE SENSING OF ENVIRONMENT

Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques

(2018) Sebastian Varela et al.   Remote Sensing

Estimations of Nitrogen Concentration in Sugarcane Using Hyperspectral Imagery

(2018) Poonsak Miphokasap et al.   Sustainability

Estimation of nitrogen and carbon content from soybean leaf reflectance spectra using wavelet analysis under shade stress

(2018) Junxu Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing

(2018) Weihong Zhou et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine learning algorithm in the east of Tibetan Plateau, China

(2018) Jinlong Gao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Genetic diversity and path analysis for nitrogen use efficiency of tropical popcorn (Zea mays ssp. everta ) inbred lines in adult stage

(2018) Vinícius Costa Almeida et al.   PLANT BREEDING

Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest Regression Algorithm

(2018) Liang Liang et al.   Remote Sensing

A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle

(2018) Hengbiao Zheng et al.   Remote Sensing

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

Novel age estimation model based on development of permanent teeth compared with classical approach and other modern data mining methods

(2017) Michal Štepanovský et al.   FORENSIC SCIENCE INTERNATIONAL

What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?

(2017) E. Raymond Hunt et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

(2017) John E. Ball et al.   Journal of Applied Remote Sensing

Relationship between Remote Sensing Data, Plant Biomass and Soil Nitrogen Dynamics in Intensively Managed Grasslands under Controlled Conditions

(2017) Christoph Knoblauch et al.   SENSORS

Non-Destructive Evaluation of the Leaf Nitrogen Concentration by In-Field Visible/Near-Infrared Spectroscopy in Pear Orchards

(2017) Jie Wang et al.   SENSORS

In-field cotton detection via region-based semantic image segmentation

(2016) Yanan Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Use of corn height measured with an acoustic sensor improves yield estimation with ground based active optical sensors

(2016) L.K. Sharma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Improved remote sensing of leaf nitrogen concentration in winter wheat using multi-angular hyperspectral data

(2016) Li He et al.   REMOTE SENSING OF ENVIRONMENT

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data

(2015) Abel Ramoelo et al.   International Journal of Applied Earth Observation and Geoinformation

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

Remotely-Sensed Indicators of N-Related Biomass Allocation in Schoenoplectus acutus

(2014) Jessica L. O’Connell et al.   PLoS One

Canopy-scale wavelength and vegetative index sensitivities to cotton growth parameters and nitrogen status

(2014) T. B. Raper et al.   PRECISION AGRICULTURE

Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments

(2014) Davide Cammarano et al.   Remote Sensing

Nitrogen Status Assessment for Variable Rate Fertilization in Maize through Hyperspectral Imagery

(2014) Chiara Cilia et al.   Remote Sensing

A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances

(2013) Rafael Muñoz-Huerta et al.   SENSORS

Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data

(2012) Elfatih M. Abdel-Rahman et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING