Estimation of soil organic matter by in situ Vis-NIR spectroscopy using an automatically optimized hybrid model of convolutional neural network and long short-term memory network

A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China

(2023) Yu Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

(2022) Sheng Wang et al.   REMOTE SENSING OF ENVIRONMENT

Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century

(2022) Raphael A. Viscarra Rossel et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Soil moisture effects on predictive VNIR and MIR modeling of soil organic carbon and clay content

(2022) Michael Seidel et al.   GEODERMA

Automated spectroscopic modelling with optimised convolutional neural networks

(2021) Zefang Shen et al.   Scientific Reports

An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling

(2021) Dário Passos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Soil profile analysis using interactive visualizations, machine learning, and deep learning

(2021) Vung Pham et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Performance of field‐scale lab vs in situ visible/near‐ and mid‐infrared spectroscopy for estimation of soil properties

(2021) Isabel Greenberg et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Soil properties: Their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks

(2021) Liang Zhong et al.   GEODERMA

Combination of Convolutional Neural Networks and Recurrent Neural Networks for predicting soil properties using Vis–NIR spectroscopy

(2020) Jiechao Yang et al.   GEODERMA

DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis

(2019) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning

(2019) S. Nawar et al.   SOIL & TILLAGE RESEARCH

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

(2019) Wartini Ng et al.   GEODERMA

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

(2018) Lieyun Ding et al.   AUTOMATION IN CONSTRUCTION

Novel Proximal Sensing for Monitoring Soil Organic C Stocks and Condition

(2017) Raphael A. Viscarra Rossel et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Moving your laboratories to the field – Advantages and limitations of the use of field portable instruments in environmental sample analysis

(2015) Agnieszka Gałuszka et al.   ENVIRONMENTAL RESEARCH

In Situ Measurements of Organic Carbon in Soil Profiles Using vis-NIR Spectroscopy on the Qinghai–Tibet Plateau

(2015) Shuo Li et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Modelling soil carbon fractions with visible near-infrared (VNIR) and mid-infrared (MIR) spectroscopy

(2015) N.M. Knox et al.   GEODERMA

Deep learning

(2015) Yann LeCun et al.   NATURE

Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy

(2010) Antoine Stevens et al.   GEODERMA