Soil Science & Agricultural Researcher
I am a Soil Science and Agricultural Researcher interested in understanding soil health, carbon and nutrient dynamics, soil–water interactions, and sustainable agricultural systems. My work combines soil science with quantitative analysis, GIS, remote sensing, and computational tools to investigate agricultural and environmental problems.
2023 - 2025 | Institute of Agriculture and Animal Science, Tribhuvan University, Nepal
Focused on soil health assessment and management practices.
Thesis: Comparative Assessment of Soil health, Groundwater quality and Rice Grain Nutrient under Organic and Conventional Farming Systems2018 - 2022 | Tribhuvan University, Nepal
Specialized in soil chemistry and environmental impact assessment.
Thesis: Effects of Different Mulching Material on Growth, and Yield of Capsicum.A selection of my research, GIS, remote sensing, data analysis, and agricultural projects. This section is connected to my GitHub profile and updates automatically as my public repositories change.
My research interests focus on understanding soil as a dynamic system and how soil properties, biological processes, and management practices influence agricultural productivity, environmental quality, and climate resilience. I am particularly interested in connecting soil health, carbon and nutrient dynamics, soil–plant interactions, and sustainable management practices.
Assessing biological, chemical, and physical soil properties to understand soil functioning, identify constraints to productivity, and develop practices that improve long-term soil health and resilience.
Studying soil organic carbon dynamics, carbon stabilization, and the effects of agricultural management on carbon storage and sequestration for improved soil quality and climate mitigation.
Investigating nutrient transformation, availability, and movement in soils to improve nutrient-use efficiency, soil fertility, and sustainable crop production.
Exploring microbial communities and their roles in organic matter decomposition, nutrient cycling, carbon dynamics, and the biological functioning and resilience of soils.
Examining how soil properties, nutrient availability, and biological processes influence root development, nutrient uptake, plant growth, and crop productivity.
Investigating relationships between soil properties, water movement, nutrient transport, and water quality to understand agricultural impacts on soil and water resources.
Developing management approaches that improve soil structure, water retention, nutrient availability, and water-use efficiency while reducing degradation and resource losses.
Exploring farming systems and soil management practices that maintain productivity while improving soil quality, resource-use efficiency, and long-term environmental sustainability.
Investigating agricultural practices that improve productivity and resilience while enhancing soil carbon storage and reducing environmental impacts under changing climates.
Applying geospatial and remote sensing techniques to assess spatial variability in soils, monitor agricultural landscapes, and support soil and land resource management.
Applying data-driven and machine learning approaches to analyze complex agricultural datasets, predict soil and crop properties, and support sustainable management decisions.
Chemical, physical, and biological soil analysis, including AAS, UV-Vis spectrophotometry, flame photometry, and standard soil laboratory methods.
Water quality assessment, physicochemical analysis, nutrient analysis, and evaluation of water properties for environmental and agricultural research.
Plant tissue sampling, nutrient analysis, nutrient profiling, and interpretation of plant nutrient status for crop and soil research.
Statistical analysis, experimental design, data processing, and visualization using tidyverse, ggplot2, dplyr, tidyr, agricolae, and doebioresearch.
Data analysis, processing, visualization, machine learning, and research automation using NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
Spatial analysis, geoprocessing, cartography, remote sensing, raster and vector analysis using ArcGIS Pro, QGIS, and Google Earth Engine.
Professional document preparation, scientific writing, thesis formatting, references, equations, tables, figures, and research manuscripts.
Advanced Excel data management and analysis, data organization, statistical summaries, charts, professional presentations, and technical documentation.
Research data visualization using R and Python, including ggplot2, Matplotlib, Seaborn, and Tableau for statistical and scientific presentation.
Crop growth simulation, model-based analysis, scenario assessment, and evaluation of crop responses to environmental and management conditions.
Statistical analysis, experimental data analysis, hypothesis testing, regression, correlation, ANOVA, and interpretation of research datasets.
Automating data processing, analysis, visualization, file management, and repetitive research workflows using Python and R.
mail@subarnakandel.com.np
+977-9847629377
Department of Soil Science
Kathmandu, Nepal
Sunday-Friday: 9:00 AM - 4:00 PM