Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status

Assessments on the impact of high-resolution-sensor pixel sizes for common agricultural policy and smart farming services in European regions

(2020) Jonas Meier et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Systematic Mapping Study on Remote Sensing in Agriculture

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Mid-season empirical cotton yield forecasts at fine resolutions using large yield mapping datasets and diverse spatial covariates

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Evaluation of cotton emergence using UAV-based imagery and deep learning

(2020) Aijing Feng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models

(2020) Petteri Nevavuori et al.   Remote Sensing

Augmenting Crop Detection for Precision Agriculture with Deep Visual Transfer Learning—A Case Study of Bale Detection

(2020) Wei Zhao et al.   Remote Sensing

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

(2020) Tomoaki Yamaguchi et al.   Remote Sensing

Mapping Winter Wheat Planting Area and Monitoring Its Phenology Using Sentinel-1 Backscatter Time Series

(2019) Yang Song et al.   Remote Sensing

Nitrogen Fertilization Effects on Physiology of the Cotton Boll–Leaf System

(2019) Chen et al.   Agronomy-Basel

Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques

(2019) Ephrem Habyarimana et al.   Agronomy-Basel

Remote sensing for agricultural applications: A meta-review

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

Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers – From theory to application

(2018) Helge Aasen et al.   REMOTE SENSING OF ENVIRONMENT

Global trends in nitrate leaching research in the 1960–2017 period

(2018) Francisco M. Padilla et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning

(2018) J.-B. Féret et al.   REMOTE SENSING OF ENVIRONMENT

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

(2017) Amy Lowe et al.   Plant Methods

Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images

(2017) Ruizhi Chen et al.   PRECISION AGRICULTURE

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

(2015) Jochem Verrelst et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Measuring leaf nitrogen concentration in winter wheat using double-peak spectral reflection remote sensing data

(2014) Wei Feng et al.   FIELD CROPS RESEARCH

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

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

The impact of nitrogen source and crop rotation on nitrogen mass balances in the Mississippi River Basin

(2013) J Blesh et al.   ECOLOGICAL APPLICATIONS

Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image

(2013) Valérie C.E. Laurent et al.   REMOTE SENSING OF ENVIRONMENT

Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model

(2013) Juan Rivera et al.   Remote Sensing

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Soil properties, black root-rot incidence, yield, and greenhouse gas emissions in irrigated cotton cropping systems sown in a Vertosol with subsoil sodicity

(2012) N. R. Hulugalle et al.   Soil Research

Derivative vegetation indices as a new approach in remote sensing of vegetation

(2012) Svetlana M. Kochubey et al.   Frontiers of Earth Science

Responses of cotton growth, yield, and biomass to nitrogen split application ratio

(2011) Guozheng Yang et al.   EUROPEAN JOURNAL OF AGRONOMY

An investigation into robust spectral indices for leaf chlorophyll estimation

(2011) Russell Main et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Remotely Sensing Arthropod and Nutrient Stressed Plants: A Case Study With Nitrogen and Cotton Aphid (Hemiptera: Aphididae)

(2010) Dominic D. Reisig et al.   ENVIRONMENTAL ENTOMOLOGY

Estimating Leaf Chlorophyll Content Using Red Edge Parameters

(2010) Chang-Hua JU et al.   PEDOSPHERE

Spreading Dead Zones and Consequences for Marine Ecosystems

(2008) R. J. Diaz et al.   SCIENCE