microalgae

An open-source Raspberry-Pi based photobioreactor for cultivating and assessing physiology (photosynthesis & productivity) in microscopic algae.

An open-source Arduino based chlorophyll fluorometer for quantifying photosynthesis in photosynthetic organisms.

Arduino code for pH, temperature monitoring, data logger, turbiostat, control LED for mimicking sun pattern. Python script for the simulation of microalgae growth with real solar profiles.

Code and resources for LMFM-12 microalgae image classification, comparing seven CNN architectures and evaluating transfer learning performance

Control Scripts for Photon Systems Instruments (PSI) Bioreactor Client

Microalgal growth simulation for CO₂ capture estimation. Monod kinetics, Steele photoinhibition, and CTMI temperature modeling for Chlorella vulgaris under Surat, India's tropical climate.

A small android application project listing commonly used microbiology culture media.

An open research initiative developing hybrid AI models (PINN, LSTM) to predict dissolved CO₂ from pH, O₂, and temperature data—validated against lab methods.

Train, validate and evaluate (SHAP) Convolutional neural network (CNN) and Gradient boosting decision tree (XGBoost) models to classify 4 cell cycle classes of Haematococcus lacustris (microalgae).

IoT-based portable photobioreactor monitoring system for distributed urban microalgae cultivation — Bangkit Academy capstone project integrating OD sensor data, growth tracking, and carbon capture estimation

Motor de IA preditiva para estimativa de crescimento de biomassa em tanques de cultivo de microalgas. Recebe dados de sensores IoT (pH, temperatura, turbidez, luminosidade e radiação PAR) e retorna previsão de biomassa em g/L, data estimada de colheita e confiança do modelo via API REST. Desenvolvido com Python 3.11, FastAPI e Random Forest (scikit

AI-powered platform for smart photobioreactor monitoring using IoT, multi-sensor data, computer vision, and real-time analytics. Built with FastAPI, Angular, PostgreSQL, MQTT, Docker, and Raspberry Pi.

Interactive study on lipid and fatty acid modulation in Nannochloropsis under salinity and nitrogen stress for biofuel applications.

Full-stack monitoring and control system for photobioreactor facilities — real-time MQTT sensor ingestion, Prophet-based anomaly detection, and Recurrent-LSTM with PPO reinforcement learning control recommendations.

4th-year chemical engineering design project. This code simulates microalgae growth for the purposes of cultivating it for biodiesel applications.

AlgaeOS, a full-stack PBR OS control-simulation automation framework

A modular package for numerical simulations of sea ice processes including heat-tracer transport and microalgal growth.

Research code for LA4SR protein-language modeling in microalgae (Patterns, 2025).

Open-source techno-economic analysis (TEA) and life-cycle assessment (LCA) for microalgae, cyanobacteria and aquatic protist biomass. Desktop app on a UI-agnostic engine; TEA and LCA derived from one shared mass and energy balance.

EnerGaia is a spirulina producer, incorporated in Thailand in April 2009 and now headquartered in Singapore, that grows nutrient-dense microalgae in proprietary closed bioreactors rather than open ponds to deliver clean, consistent spirulina for food and beverage manufacturers.