Project Evergreen

Sector

Recursive-built AI for energy and environmental application

Type

ML

AI Type

Custom Machine Learning Models (ML)

Project Delivered

2025

Case Study

recursiveai.co.jp

3D MODELLINGDATA ANALYSISHYBRID MODELSWEATHER MODELLINGDATA PREPROCESSINGSYSTEM OPTIMIZATIONPHYSICS INSPIRED NEURAL NETWORK

AI-powered groundwater forecasting system to protect tropical peatlands and prevent forest fires in Indonesia.

We developed a custom AI model to forecast groundwater levels in tropical peatlands and simulate dam placement, helping prevent forest fires. The solution now supports the sustainable management of 1,200 km² of forest, reduces manual workload, and contributes to climate change mitigation.

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"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry

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"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry

View More Projects

"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry