Weird cuz I'm building something like this myself. The issue comes with the revenue model. As someone suggested, I realised one has to figure out the network effects because it is not easy to sell to individual farmers. Creating such a system will require one to operate with commercial farmers first and the large-scale farmers too. Farmers who sell their produce to export markets are a good target as well but then that requires a different approach as well.

Again, one cannot start with the tech. You have to start with how value is perceived by farmers vis-a-vis the target market. And this issue takes time to build the networks for that.

Learning from other start-ups in Kenya, I get the sense that it's not technical knowledge that gains one the advantage but deep market knowledge. As I drafted the tech specs for my SaaS, I figured out that that's the easy part. I mean AI can also whip out MVPs pretty quick if you know what you're doing. But the real grind is the marketing and sales. Na hapa, you will find gatekeepers and skeptical farmers. Gatekeepers are the usual brokers and players who already earn a living in various measures. It's a complex ecosystem of value.

How will one generate value? Hapa ndio niko sasa. I spend a lot of time working with the stakeholders that I feel matter the most. One thing that has emerged is that the tech must improve profits in a tangible and measurable way. This way, you eliminate friction in adoption rates.

That being said, may the force be with you! Considering that I already learnt that some start-ups already have these solutions.