Popular GitHub Repositories for Soil Spectroscopy

Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

https://soilnet.herokuapp.com/ Created a Soil Classification model using Deep Learning which also suggests Crops in 6 different languages and deployed on Heroku. Soil Classification is one of the most important topics, for Farmers and Agriculture Researchers.

A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.

Generative and Interpretable Deep Learning for Stellar Spectra

Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

Artificial neural networks for spectral analysis.

Repository for "Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models" (ApJ) and "Generating astronomical spectra from photometry with conditional diffusion models" (ML4PS@NeurIPS 2022)

Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules using Convolutional Neural Networks

Better Radial velocities from Stellar Spectroscopy via Machine Learning

AI based IoT Smart Farming Solution

Large-scale digital mapping of soil organic carbon content by using machine learning algorithms

Machine learning algorithm in Python that can analyze soil data and determine if it's vulnerable to erosion or not.

LiqueANN : Artificial Neural Network model for predicting soil liquefaction potential.

KrushiSaathi is an AI-powered agri-assistant offering voice-based support, crop and soil analysis, and personalized guidance to empower small and marginal farmers across India.

Computer Vision + AI. Poisonous Plant and Soil Type Detection

Electrical Impedance Spectroscopy analysis using Machine Learning

Project focused on optimizing artificial neural network (ANN) algorithms to generalize from experimental data describing the epitaxial synthesis of thin film semiconductor crystals. Incentivized by a project assignment in a CS 5300 - Artificial Neural Systems course taken at Western Michigan University.

Soil VIS-NIR reflectance spectra simulation based on generative model. PROSAIL model is integrated..