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Anyone here done crop yield prediction using RGB drone…

Anyone here done crop yield prediction using RGB drone images + ML?

Hey guys,

I'm currently working on my capstone project and was wondering if anyone here has experience with using drones for crop analysis/yield prediction.

Our plan is to use an **RGB drone** (can't afford a multispectral/NIR one 😅), stitch the images into an orthomosaic, extract features like **VARI**, canopy coverage, plant density, etc., then feed those into a machine learning model (probably Random Forest) to predict **rice yield**.

Has anyone here tried something similar?

* Does using only RGB imagery actually work well enough for yield prediction?
* Is VARI useful, or are there better RGB indices/features I should look into?
* Any tips, things you wish you knew before starting, or common mistakes to avoid?
* If you've done this before, how accurate were your results?

We're just trying to estimate yield from drone imagery.

Would really appreciate any advice, papers or just hearing about your experience. Thanks!
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