Portfolio

Case Studies & Projects

Detailed project write-ups demonstrating objectives, methods, tools, and outcomes.

Precision Nitrogen Management in Spring RiceDSSAT · Crop Modeling

Precision Nitrogen Management in Spring Rice

Chitwan, Nepal

The Problem

Farmers in Chitwan, Nepal were applying nitrogen fertilizers based on blanket recommendations, leading to inefficient resource use and environmental impact.

Approach

Applied DSSAT decision support tools to model nitrogen dynamics in spring rice (Oryza sativa L.) across multiple management scenarios.

Tools Used
DSSAT v4.8PythonRField Experiments
Results

Identified optimized nitrogen application rates that could reduce input costs by an estimated 15-20% while maintaining yield levels.

Impact

Provided evidence-based recommendations for precision nitrogen management adaptable to smallholder farming systems in the Terai region.

DSSAT Graphical Visualization GB2Development · Python

DSSAT Graphical Visualization GB2

University of Florida

The Problem

Existing DSSAT visualization tools had limited interactivity and did not fully support the latest model outputs in v4.8.6.

Approach

Developing Graphical Visualization GB2 with enhanced data visualization capabilities, modern UI, and improved data processing.

Tools Used
PythonData VisualizationDSSAT v4.8.6Fortran
Results

Creating a more intuitive and powerful tool for researchers to analyze and visualize crop model outputs.

Impact

Enhancing data visualization capabilities for the global DSSAT research community used by researchers in 100+ countries.

More Projects

Treatment Effect Analysis

Treatment Effect Analysis

Boxplot comparison of crop responses across three treatment groups to evaluate experimental outcomes.

RStatisticsData Viz
Farmer Platform Usability Survey

Farmer Platform Usability Survey

Survey analysis of farmer responses on ease of registration across mobile app, website, and both platforms.

RSurvey AnalysisData Viz
Rogcheck — Disease ID App

Rogcheck — Disease ID App

Android app using CNN & TensorFlow Lite for offline crop disease detection across 10 diseases.

CNNTFLiteJava
Remote Sensing Analysis

Remote Sensing Analysis

Satellite imagery analysis for agricultural monitoring.

Remote SensingPython
DNA Sequencing Classifier

DNA Sequencing Classifier

Built a classifier for DNA sequencing data achieving 99.3% accuracy with confusion matrix evaluation across 7 classes.

PythonMLBioinformatics
R Data Analysis Workshop

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.

RTrainingWorkshop

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