Owais Bashir
Sher-e-Kashmir University Faculty of Agriculture, Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir
0000-0002-6519-9335
About
I am an accomplished Soil Research Scientist and Pedologist, whose work resides at the intersection of soil pedometrics, soil biology, and climate-resilient agriculture. My research philosophy embodies a fusion of geospatial intelligence, computational modeling, and biological insight, aimed at redefining how soil systems are analyzed, mapped, and managed under changing climatic regimes.
Leveraging advanced proficiencies in Python, R, and QGIS, I have developed AI- and ML-driven frameworks for high-resolution spatiotemporal soil characterization and predictive modeling, enabling data-informed decision-making in precision agriculture and ecosystem management. My interdisciplinary approach integrates geostatistics, remote sensing analytics, and biogeochemical modeling to decode soil variability, nutrient dynamics, and carbon processes with unprecedented accuracy.
At the forefront of digital and sustainable soil science, I have a vision is to revolutionize global soil resource management through the convergence of artificial intelligence, earth observation technologies, and ecological principles. My work aspires to accelerate the transition toward climate-smart, regenerative, and resource-efficient agroecosystems, fostering resilience, productivity, and environmental integrity across diverse landscapes.
Employment
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Sher-e-Kashmir University Faculty of Agriculture soil scientist2019 - Present
Education
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Sher-E-Kashmir University of Agricultural Sciences and Technology Kashmir Ph.D2019 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Soil Bulk Density Estimation by a Novel Pedotransfer Function Tailored on Hilly Terrains Save
- A Systemic Machine Learning Approach for Fruit Yield Estimation Under Changing Global Climatic Conditions Save
- Geostatistical modeling—a tool for predictive soil mapping Save
- Sensitivity of Labile Carbon Pools and Soil Organic Carbon Stocks to Organic and Mineral Fertilization Across Foothill Himalayas Save
- Geostatistical modeling approach for studying total soil nitrogen and phosphorus under various land uses of North-Western Himalayas Save
- Mathematical vs. machine learning models for particle size distribution in fragile soils of North-Western Himalayas Save
- Unlocking the potential of soil potassium: Geostatistical approaches for understanding spatial variations in Northwestern Himalayas Save
- State-of-the-Art Modeling in Soil and Ecosystem Services Under the Current Scenario Save
- Predicting and Modeling of Soil Organic Carbon in Various Land Uses Save
- Novel Disruptive Technology Innovations for Smart Sustainable Agricultural Practices Save