Hi,
I'm Timon from the Netherlands, but doing work in Mozambique as part of my phd research on mapping smallholder irrigated agriculture with remote sensing (my project). I have been browsing for apps on which geodata can be collected, including photos and other relevant information (e.g. crop type, harvesting date), for some time before I settled on ODK. I wanted to be able to send people into the field to collect the relevant data, as I'm based in the Netherlands mostly, and in my field visits I cannot collect enough information to make any conclusions etc. The problem with most apps was that data was not sent to a central point, so data collectors would have to manually send me data through email for example, or share some google folder of something.
But this was all on the back burner, until COVID, when I could not make my frequent visit to the field. So just over a month ago I setup an ODK central server through DigitalOcean, made a questionnaire to collect the goedata (polygons and geo-tagged photos), tested it at home and in Mozambique, and hired some field staff to collect the relevant data for me. The server is perfect for my project, as all the relevant data can be downloaded to R, and I can automate my whole workflow. The next step would be training machine learning models with this data, which is why the automation is a big plus.
I have not contributed to any code yet, but I've contacted @Florian_May from ruODK on mapping the geodata that comes into R from the server.
I hope to scale up the above workflow for the data collection next year, as this year I was a bit too late (end of irrigation season).