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Chapters

Part I: Foundations

Chapter Title Concepts
1 Introduction to Precision Turf Analytics Turf health, data-driven management, precision vs traditional
2 The Golf Course Ecosystem Greens, fairways, roughs, microclimates, soil profiles
3 Multispectral Imaging Fundamentals NDVI, NDRE, GNDVI, RGB, NIR, spectral bands

Part II: Operations

Chapter Title Concepts
4 Drone Platforms & Sensors DJI Mavic 3M, sensor arrays, payload considerations
5 Mission Planning & Flight Operations Corridor zoning, altitude, overlap, speed, DJI Pilot 2
6 Data Capture Best Practices Time windows, dew, sun angle, consistency protocols
7 Image Processing & Orthomosaics Stitching, GSD, georeferencing, cloud processing

Part III: Analytics

Chapter Title Concepts
8 Vegetation Index Analysis Stress mapping, chlorophyll detection, health scoring
9 Turf Disease Detection & Prevention Fungal patterns, early warning, UVC treatment
10 Irrigation & Water Management Moisture mapping, deficit zones, smart irrigation
11 Chemical Application Optimization Targeted spraying, reduction strategies, environmental impact

Part IV: Business & Strategy

Chapter Title Concepts
12 Competitive Landscape & Platforms SGL/TurfBase, GreenSight, SkimTurf, John Deere, POGO
13 Building a Drone Services Business Part 107, pricing models, DaaS, client acquisition
14 AI Integration & Predictive Analytics ML for turf, anomaly detection, trend analysis
15 The SGL Partnership Model DSP framework, white-label, commission structures
16 Future of Autonomous Turf Management Robotics, BVLOS, autonomous monitoring, industry evolution