Especially when building solutions for real farmers and agribusinesses? I’m interested in understanding challenges related to user adoption (non-technical users), data accuracy, connectivity in rural areas, integration with IoT devices and machinery, scalability for small vs large farms, affordability, and ongoing maintenance. From your experience, which of these challenges are hardest to solve, and how are developers or companies addressing them?
Farmers usually need specific data, rather than scientific data. There may be difference Lab scientific data and actual on field relevant data.
Probably AI would take care of Connectivity, Integration of IOT, UX Etc….but the real problem is the information, adoption, production and access to specific data….This is my opinion not sure this is True.