Consultancy Scope
- Soilless cultivation and controlled-environment operations
- Plant nutrition recipes and fertigation planning
- Climate, irrigation, and production optimization
- Field-data-based decision support and operational follow-up
Applied Agriculture & AgTech
Dr. Yavuz Selim
Şahin.
Plant nutrition, crop protection, and controlled-environment production
I provide consultancy for smart agriculture and controlled-production systems, helping soil-based and soilless operations make plant nutrition, irrigation, climate control, and daily production decisions more measurable.
AGRONOMY / RESEARCH / SOFTWARE
Working Approach
Work that starts in the field and grows with data.
My work focuses on improving yield, quality, and resource use in greenhouse and controlled-environment production. I review existing practices from system setup to daily operation, prepare measurable improvement plans, and turn technical findings into clear actions for growers.
I combine this consultancy work with software and data-driven tools. Smart4Drip, for example, supports plant nutrition decisions through analysis, recipe optimization, and field data.
My applied research in AI-assisted precision agriculture and biological crop protection keeps this work connected to current methods. My publications include studies on deep-learning-based pest detection, thermal imaging for disease monitoring, entomopathogenic biological control, and controlled-environment cultivation.
Applied Research Areas
- AI-based pest detection & segmentation (YOLOv8, deep learning)
- Thermal imaging for early crop disease diagnosis
- Biological control with entomopathogenic nematodes
- Controlled-environment cultivation & mushroom production
Research publications — view on Google Scholar
Digital Tools
Decision-Support Applications
Agricultural tools I use in my own work, available for you to explore.
Smart4Drip
Plant nutrition planning and fertilizer recipe optimization
VPDew
Vapor pressure deficit, dew point, and humidity deficit guidance
Climap
Archive weather data on a map with charts and CSV export
GrowLED
PAR/PPFD, RadSum, and DLI metrics for LED and sunlight scenarios
SmartMap
Sentinel-2 NDVI/NDMI/NDRE view for a drawn field boundary
Drip-Drenaj
Compare drip and drainage analyses with volume-aware element balances
Presentations / 01—02
Smart agricultureAgricultural robots, field applications and interactive examples. Presented in Turkish. Plant learning libraryInteractive animations on plant nutrition, climate and physiology. In Turkish.Technical contact
What shall we work on together?
Tell me about your greenhouse, your crop, or the project you have in mind.