agroBOT

Everyday operational questions — irrigation guidance, crop protection, weather advice, early pest and disease risk, and culture- and climate-specific recommendations. It also supports livestock and poultry production questions.

agroBOT reads your agroNET data — fields, crops, soil sensors, weather station, growth records — and reasons over them when answering each question. The result is advice for your field and your conditions, not a generic recommendation from a manual.

A large language model trained on agronomy and grounded with your real farm data from agroNET, combined with predictive analytics for pest risk, weather forecasting and irrigation modelling. The LLM handles the plain-language interface; the analytics provide the precision.

Both. You can ask anything at any time. agroBOT also monitors your data in the background and sends proactive alerts — rising pest or disease risk, weather events, or soil stress — before you'd have spotted them yourself.

agroNET integration is what makes the advice specific to your farm. Without it, agroBOT still gives high-quality general agronomic guidance, but the personalisation — your fields, your sensors, your conditions — comes from the agroNET connection. Most customers connect both from the start.

Generic chatbots draw on public knowledge and give generic answers. agroBOT is grounded in your actual farm data — your soil moisture, your growth stage, your pest-risk readings — and in curated agronomic expertise. It is also proactive, not just reactive, and is built for the specific conditions and crops you work with.