Climate Forecasting AI
Rainfall, drought, streamflow, evapotranspiration, and climate variability models using machine learning, deep learning, and hybrid workflows.
AI Climate Intelligence
Dr. Muhammad Waqas
Senior researcher and consultant building AI systems for climate-risk prediction, hydrology, water intelligence, smart agriculture, GIS, and environmental remediation.
AI Climate Intelligence
From satellite, sensor, weather, and field data to decisions that can be trusted.
My work combines agricultural engineering, hydrology, agrometeorology, GIS, numerical weather prediction, water-quality analytics, and deep learning. The result is research that is academically strong, technically reproducible, and useful for real-world climate adaptation, agricultural planning, and water-resource management.
Solutions
Built for the climate-agriculture data stack
Smart Agriculture Analytics
Crop water demand, greenhouse water systems, soil-climate data, crop yield risk, and sustainable agriculture planning.
Research-to-Deployment
Publication strategy, model validation, technical reports, scientific storytelling, and decision-ready outputs for research and policy teams.
Climate Risk
AI models for prediction, downscaling, and scenario analysis
Water Systems
Hydrology, groundwater, evapotranspiration, and quality analytics
Agriculture
Crop yield, irrigation, greenhouse systems, and sustainability planning
Next Step