I stumbled across this community while doing research for a livestock control system. We are looking for a way to manage stock on range without the need for fences. There are some companies offering prototype systems, but they are both expensive and laden with being closed source.
The concept is essentially what amounts to a two-way wildlife collar mashed up to an electric collar (typical with dogs etc.) To control your stock you simply train them to the e-collar so that they turn around when the tone is sounded knowing that a shock will follow.
I would like to be able to set virtual paddocks for the stock every day and have them move from one ‘paddock’ to another in a forced transition all remotely without having to ride out and see them. The concept is a the pursuit of a controlled rotational grazing system without the need for physical fences and one that ultimately can auto-generate daily paddocks from vegetation surveys and stock inputs.
If there aren’t any current projects along these lines, then I’ll probably start heading up one. I am much better at hardware integration and using GIS tools than I am at any in-depth software, so I know creating the management software will take some amount of learning. But I would think that if someone has already built geo-fence type implementations for a Meshtastic device that I would be able to stand on their groundwork for my ultimate pursuit.
Other dreams I have for this are that the mesh herd / flock / band etc. can be reprogrammed remotely (many km), their locations are relayed when asked for or on important changes in behavior (leaving a paddock, not moving for a long time etc), relaying health information like pedometer, nutritional and heat data. Current solutions for those are again expensive and closed-source. Additionally it would great if the collars were capable of remaining charged indefinitely (solar or in this case motion?).
I have a few of the TTGO modules with screens on the way for some practice and hands-on learning and I am excited to have found an active community developing something like this in an open way.
Thanks for reading!