Projects & Applications
Applied tools, apps, analyses, and workshops — the practical side of agricultural data science.
DSSAT Graphical Visualization GB2
Contributing to DSSAT v4.8.6 by building enhanced graphical visualization capabilities for the global crop modeling research community.
Rogcheck — Crop Disease ID App
Android app using CNN & TensorFlow Lite for offline crop disease detection across potato, pepper bell, and tomato — classifying 10 diseases.
Remote Sensing Analysis
Satellite imagery analysis for agricultural monitoring using NDVI and land cover classification techniques.
DNA Sequencing Classifier
Built a classifier for DNA sequencing data achieving 99.3% accuracy with confusion matrix evaluation across 7 classes.
Treatment Effect Analysis
Boxplot comparison of crop responses across three treatment groups to evaluate experimental outcomes.
Farmer Platform Usability Survey
Survey analysis of farmer responses on ease of registration across mobile app, website, and both platforms.
R Data Analysis Workshop
Conducted a data analysis training with R-Studio for agriculture, veterinary, and fisheries students at AFU, Rampur, Chitwan. Organized by GAVS.
Have a Similar Project in Mind?
Let's discuss how I can help you achieve your goals with data-driven approaches.
Start a Conversation