so ive been doing some contract work for a couple farms nearby and they want orthomosaic maps and NDVI stuff for crop health monitoring. i've been using DroneDeploy on a trial and it's honestly pretty slick for field ops, the automated flight planning is dead simple and the cloud processing means i don't have to babysit my laptop for 4 hours.

but a guy i know keeps saying Pix4D is way more accurate and that DD cuts corners on the point cloud quality. i haven't done a proper side by side so i cant really tell yet. the thing is Pix4D is like significantly more expensive if you're going the subscription route and im not sure the accuracy difference even matters for what these farmers actually need ? they just want to know where their fields are stressed, not submillimeter GCP accuracy.

anyone actually run both on the same dataset or similar conditions? curious if the price jump is justified or if im just getting upsold on precision i dont need

ran both for about a year on survey and ag work and honestly for NDVI and basic crop health stuff DD is totally fine. the reflectance calibration and the plant health dashboard does what most farmers actually care about. Pix4D shines when you need tight GCP accuracy for like volumetric calculations or when a client needs a deliverable that can hold up to scrutiny ? think quarry surveys, construction progress stuff like that.

the point cloud argument is real but also kind of depends on your overlap settings and the sensor you're flying. i was getting really solid results out of DD with a Micasense RedEdge and 80/80 overlap. the processing times are longer on Pix4D locally but you have way more control over the reconstruction parameters. for ag contracts at the scale you're describing i'd probably just stay on DD unless something specific forces you to go the other route

whats your GSD target on these fields? because that changes the answer a bit. also are you flying a multispectral sensor or trying to pull NDVI from RGB which like... works but not really