A lot of farming decisions still come down to gut feel and past experience, with no single place to check the data before deciding. Farmers were struggling with:
The client wanted to fix this — put something in farmers’ hands that actually tells them what’s going on and what to do about it.
We built AIAgri Advisor as a mobile-first platform, backed by an analytics dashboard on the backend. The idea was simple: farmers needed something easy to use in the field, and the system needed to be smart enough to turn raw data into advice they could act on immediately.
The app gives farmers a way to set and track what they’re growing, so the advisories and alerts they get are actually relevant to their crop, not generic tips. There’s an AI chatbot built in too, so if a farmer has a question about crops, diseases, or fertilizers, they can just ask it in their own language and get an answer right away, any time of day. Beyond that, the system looks at soil conditions and suggests the right fertilizer, pulls in real-time weather so farmers can plan around it, and flags early signs of disease before they turn into bigger problems.
Behind all of this, an analytics dashboard keeps track of farm performance, crop health, and recommendation history, so the AI engine always has current data to work from. The mobile app and the backend are tied together through API integrations, which means whatever the system figures out reaches the farmer right away, not after the fact.
Farmers using AIAgri Advisor now have one place to turn to instead of piecing things together on their own, for fertilizer timing, soil health, disease risk, and weather planning alike. It’s helped them make better decisions, get healthier crops, and run a more productive, sustainable operation overall.
Frontend: ReactJs
Backend: NodeJs
Mobile: Flutter
Database: MongoDB & Redis
Cloud/Hosting: AWS
Other Tools/Integrations: Flolive