The Business Problem

A major energy company was developing novel products for reducing carbon emissions in agriculture and needed to predict deforestation risk. The challenges involved working with complex microbial data from soil samples and satellite imagery.

Traditional analysis methods couldn't effectively model the microbial community responses to different treatments or predict deforestation risk from satellite data at scale.

The INM Consulting Approach

We developed multiple integrated solutions for agricultural carbon reduction and environmental monitoring.

Implementation Details

• Modeled and analyzed microbial data from soil samples
• Performed exploratory data analysis, dimensionality reduction, and hypothesis testing
• Built ML models to predict the effect of different treatments on microbial communities
• Applied Natural Language Processing (NLP) to mine information from scientific literature
• Developed and deployed a web app using Streamlit for data interrogation
• Built ML models for deforestation risk prediction using satellite imagery
• Queried, cleaned and processed satellite imagery data for risk assessment

Technologies Used