A Python package for chemical engineering

An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery. [NeurIPS 2023 Datasets & Benchmarks Track]

Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.

(WORK IN PROGRESS) Derive estimated canopy heights from raw ICESat-2 ATL03 photon returns.

AWS4AgriSAR project through GEO-Amazon Earth Observation Cloud Credits Programme, for monitoring crops with SAR data.

The Simple Biomass Comparison Model

CSTR modeling approach for fluidized bed reactors

Kinetic reaction schemes for biomass pyrolysis

BioComp is a web tool for estimating biomass composition

Low-Order Modeling of Internal Heat Transfer in Biomass Particle Pyrolysis

Data from R-cubed riser experiments at NREL

Converting Python code to Julia for ODE model construction

Entrained flow reactor model

Extracting and processing data from MIT's Darwin model, and applying statistical learning methods. In support of submitted manuscript.

[IEEE 2014: Optimizing Indoor Farming: Deep Learning for Predicting Plant Growth under LED Light Treatments

This is a project of the course "Design Project" for the Computer Engineering career

En este repositorio se tienen los programas y las diferentes bases de datos utilizadas para generar un modelo predictivo basado en RNA para estimar la biomasa aérea de maiz forrajero