The original title is: "Agentic farm advisory assistant built with Gemma 4 + Google AI Studio"

Short summary

A complete walkthrough for building an agentic farm advisory assistant using Gemma 4 via Google AI Studio, targeting smallholder farmers in Nigeria. The assistant uses multimodal image diagnosis for crop diseases, function calling for real weather and market price lookups, and activity logging — all prototyped in the browser before shipping as an Express backend. The author stresses that testing image diagnosis in AI Studio's chat interface before writing server code was the most valuable step in catching vague model outputs early.

• •Builds a multimodal farm advisory agent with Gemma 4 using Google AI Studio's function-calling and image diagnosis capabilities
• •Implements four tools: weather window checks, market price lookups, farm activity logging, and crop image diagnosis — all with JSON schemas
• •Emphasizes browser-first prototyping in AI Studio to catch vague model descriptions before backend integration

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