Research Group

Computational
Soil Science

Bridging data, algorithms, and earth sciences to unravel the complexity of soil systems.

Our Research Meet the Team
O Horizon
A Horizon
B Horizon
C Horizon
R Horizon
5Publications
3+Active Projects
4Team Members
PartnerInstitution
Who We Are

About the Lab

The Computational Soil Science (CSS) is an Independent research group based in Dramaga, Bogor. CSS is dedicated to advancing our understanding of soil systems through cutting-edge computational methods, machine learning, and spatial data analysis.

We integrate field measurements, laboratory data, and remote sensing to build predictive models that help address global challenges in food security, carbon cycling, environment and land management.

Get in Touch

Machine Learning

Applying ML models to predict soil properties and greenhouse gas emissions from large-scale datasets.

Remote Sensing

Using satellite imagery to map soil variability across landscapes.

Data Science

Building robust pipelines for soil data integration and analysis.

Spatial Analysis

GIS-based approaches for understanding spatial patterns of soil health.

Updates

News & Highlights

2026

Lead researchers advance groundwater modeling and emission estimation for IMPLI, KLH-BPLH Project

Our lead researchers, Moh Zulfajrin and Lina Lathifah Nurazizah, are currently involved in the Integrated Management of Peatland Landscapes in Indonesia (IMPLI) Project under the Indonesian Ministry of Environment (KLH-BPLH). Their work focuses on applying peatland science, environmental modelling, and remote sensing approaches to support the prediction of spatiotemporal groundwater level dynamics and CO2 emission estimates across 14 Peat Hydrological Units (KHGs) in Sumatra and Kalimantan.

2026

Welcoming Indra Mukti Prasetyo — Next-generation researcher

We are delighted to welcome Indra Mukti Prasetyo as a next-generation researcher in our group. Indra is an undergraduate student in the Department of Soil Science and Land Resources, IPB University, and is currently conducting research on CO₂ fluxes and soil chemistry distribution in mineral soils under various land-use types. Working under the supervision of Dr. Heru Bagus Pulunggono, his research supports ongoing efforts to advance our understanding of soil biogeochemistry and ecosystem functioning in tropical environments.

2025

Presented peatland CO₂ research at AsiaFlux 2025

As part of IPB Consulting - KLH-IMPLI Teams, our work on groundwater-driven CO₂ dynamics in Indonesian tropical peatlands was presented in Riau, Indonesia.

2025

Presented evapotranspiration modeling work at AMLDS Tokyo

We assisted IPB University Team to present Machine-learning-based ET estimation from eddy covariance and remote sensing data in Tokyo, Japan.

What We Do

Research

Data-driven Groundwater Level Prediction
and CO₂ Emission Estimation in Tropical Peatlands

Integrates field observations, remote sensing, environmental covariates, and machine learning to predict spatiotemporal groundwater dynamics and estimate associated CO₂ emissions across tropical peatland landscapes bounded by unified hydrological systems.

Ongoing

Soil Macro- and Micronutrient Modeling in Cultivated Tropical Peat Using Artificial Intelligence

Applies artificial intelligence and environmental data to model, map, and understand the spatial variability of macro- and micronutrient availability in cultivated tropical peat soils for sustainable land management.

Active

Developing Intelligent System for Computing Soil Properties and Greenhouse Gas Fluxes from Tropical Peatlands

Develops an intelligent decision-support framework that combines soil science, sensor data, remote sensing, and machine learning to estimate soil properties and greenhouse gas fluxes in tropical peatland ecosystems.

Active
People

Meet the Team

Lead Researchers
Moh Zulfajrin

Moh Zulfajrin

Founder & Lead Researcher

Computational Soil Science

Lina Lathifah Nurazizah

Co-Founder & Lead Researcher

Computational Soil Science

Rahmat Asy'Ari

Lead Researcher

Computational Soil Science
SSRS Institute Indonesia - SSRS Group

Researchers

Indra Mukti Prasetyo

Researcher

Undergraduate Student · Soil Science and Land Resource, IPB University

Advisory Board

Dr. Ir. Heru Bagus Pulunggono, M.Sc.Agr.

Advisory Board

Department of Soil Science and Land Resource, Faculty of Agriculture, IPB University
Editor in Chief, SSRS Journal A: Agro-Environmental Research

Dr. Mihwan Sataral, S.Si., M.Si.

Advisory Board

Department of Agrotechnology, Faculty of Agriculture, Tompotika University
Editor in Chief, CELEBES Agricultural Journal

Dr. rer. nat. Winda Ika Susanti, S.P., M.Si.

Advisory Board

J.F. Blumenbach Institute of Zoology and Anthropology, University of Göttingen
World Resources Institute (WRI Indonesia)

Fitri Khusyu Aini, S.P., M.S., Ph.D

Advisory Board

Integrated Management Peatland Landscape (IMPLI) Project, Directorate of Peatland Ecosystem Protection and Management, Deputy of Environmental Management and Sustainable Natural Resources, Ministry of Environment-Environmental Control Agency of Indonesia (KLH-BPLH)

Want to join our research group? Reach out to us →

Academic Output

Publications

2026

Terrestrial and Remote Sensing-based Environmental Controls on Heterotrophic CO₂ Fluxes in Tropical Peatland Cultivated by Oil Palm

Pulunggono et al. · Environmental Advances · Submitted

PeatlandCO₂ FluxRemote SensingOil Palm
2025

A Synthesis of Groundwater Level-Driven CO₂ Dynamics: A Review of Different Land-Use Systems in Sumatra and Borneo, Indonesia

Aini et al. · AsiaFlux Conference 2025 · Pangkalan Kerinci, Riau, Indonesia

GroundwaterCO₂PeatlandIndonesia
2025

CO₂ Emission Estimation from Modelled Groundwater Table in Indonesian Tropical Peatland Ecosystems

Pulunggono et al. · AsiaFlux Conference 2025 · Pangkalan Kerinci, Riau, Indonesia

CO₂ EmissionGroundwaterTropical Peatland
2025

Eddy Covariance-Informed Estimation of Evapotranspiration using Machine Learning in Tropical Peatland Cultivated by Oil Palm Plantation

Pulunggono et al. · AMLDS 2025 · Tokyo, Japan

Eddy CovarianceMachine LearningEvapotranspiration
2024

Comparative Analysis of Soil Fertility in Sandy Soils along a Toposequence Transect in Sandai, West Kalimantan

Pulunggono et al. · CELEBES Agricultural

Soil FertilitySandy SoilsWest Kalimantan
Get In Touch

Contact Us

We welcome collaborations, inquiries, and research partnerships. Feel free to reach out!

fajrintanah@gmail.com
Dramaga, Bogor
West Java, Indonesia
github.com/fajrintanah

Or email us directly for faster response.