Applied Agriculture & AgTech

Dr. Yavuz Selim Sahin

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.

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Working Approach

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.

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 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

Decision Support Platform

Consultancy tool

Smart4Drip

Plant nutrition planning and fertilizer recipe optimization

Smart4Drip is a decision-support application for making plant nutrition planning more analytical, measurable, and repeatable.

The application combines water, crop, and production data to create nutrition recipes according to crop variety and phenological stage. Users define the fertilizers they already have, and the system calculates suitable combinations and doses to support a more consistent decision process.

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