Webinar: Validating AI-Based Plant Counts with Real Field Data скачать в хорошем качестве

Webinar: Validating AI-Based Plant Counts with Real Field Data

Learn how AI-powered drone imagery delivers 99% accurate plant counts—validated by real-world research from the University of Georgia. This webinar shows you exactly how machine learning transforms tedious manual counting into fast, reliable field analytics. Join Solvi founder Igor and Dr. Luan Oliveira (UGA) as they break down the science behind AI plant counting and share research results from onion and pecan tree trials. Whether you're counting corn seedlings or measuring tree canopy, you'll see how the same technology adapts to your crops. What you'll learn: How AI-based plant counting works (and when it outperforms manual methods) The difference between object detection, semantic segmentation, and instance segmentation Why transfer learning lets you train custom models with just a few examples Research results: 99.7% counting accuracy in onions, 78% sizing accuracy for market classification How to estimate yield from drone-measured bulb sizes Pecan tree counting and height estimation across different tree ages Practical tips on flight altitude and pixel resolution for best results Timestamps: 0:00 – Introduction and agenda 2:18 – About Solvi: drone imagery analytics for agriculture 5:22 – Why use drone-based plant counts vs. manual counting 8:47 – Limitations of drone-based counting 10:04 – Traditional computer vision vs. machine learning approaches 12:51 – Four types of ML tasks: classification, object detection, segmentation 17:25 – How machine learning models are trained 21:26 – Transfer learning: from ImageNet to agriculture 23:50 – Inference and calculating plant-level metrics 25:34 – Live demo: PlantAI tool for corn, weeds, and onions 28:47 – University of Georgia research study begins (Dr. Luan Oliveira) 32:57 – Onion study: methodology and ground truth measurements 35:47 – Onion counting results: 99.7% accuracy 37:18 – Onion sizing results by market class 41:38 – Predicting yield from drone measurements 42:30 – Pecan tree study: counting and height estimation 45:49 – Pecan results across mature, mid-age, and young trees 49:31 – Q&A session 🔗 Learn more about PlantAI: https://solvi.ag/features/plant-counts 🚀 Try it free: https://solvi.ag/signup #PrecisionAgriculture #DroneMapping #PlantCounting #AgTech #MachineLearning #UAVAgriculture #CropAnalytics