Drone Data Metrics for Orchard Farming

<p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Maps are not the goal. Management is.</span></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Go from pixels to pruning; from insights to intelligent irrigation; from yield predictions to predictable profit.</span></p><p></p><p><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Build a data-savvy orchard mindset without the guesswork.</strong></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Drone data can feel complex. It doesn't have to be. In </span><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Drone Data Metrics for Orchard Farming</strong><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)> AgTech writer and strategist </span><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Ken Treloar</strong><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)> outlines how to effectively read RGB DEMs multispectral indices thermal metrics canopy statistics and analyse plant census data with clarity.</span></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Turning information from above into practical field actions with a simple repeatable workflow. The perfect guide for for UAV mapping management of perennial crops. </span></p><p></p><p><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>What you'll learn:</strong></p><p></p><ul><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>How to choose survey timing that actually helps (early season; mid season; post-harvest).</span></li><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>How to layer data (RGB + DEM + NDVI/NDRE + Thermal) to diagnose </span><em style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>why</em><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)> planted assets are underperforming.</span></li><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>How to use plant census and canopy metrics to target replanting pruning and VRA programs.</span></li><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>When NDVI is the right tool; when NDRE sees stress sooner in dense canopies.</span></li><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>How Transpiration Uniformity and Transpiration Variance surface irrigation issues before they cost you yield.</span></li><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>How to design Smart Sampling routes that cut walking time and remove bias.</span></li><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>How to compare seasons; measure variance; and track ROI with confidence.</span></li><li><span style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Practical thresholds and rules-of-thumb for quick triage in the field.</span></li></ul><p></p><p><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>Make better decisions from your very next drone flight!</strong></p><p></p>