16% of agricultural produce globally is lost every year before it reaches the buyer. Not because the crops are bad. Because the supply chain is broken.
Farmers have no digital way to list surplus crops. Buyers can't discover what's available nearby. Drivers get no coordination layer. Everyone loses.
I built Micro-Harvest to fix all three — at the same time — using a single AI conversation.
What Is Micro-Harvest?
Micro-Harvest is a three-sided agricultural logistics platform built for the Google Cloud Rapid Agent Hackathon 2026 (Elastic Track). It connects:
Farmers (Growers) — who list surplus crops via an AI chat agent
Buyers (Producers) — who discover listings through smart geo-search
Drivers (Transporters) — who get auto-assigned hauls and handle delivery
One conversation from the farmer triggers the entire chain — AI reasoning, buyer matching, driver dispatch, and Stripe payment settlement. All automated.
Watch the full demo: https://youtu.be/0ZdplkglDBo
The Core Idea: One Message Does Everything
Here's what happens when a farmer speaks or types:
"I have 20 macro bins of Merlot ready to go today, asking $4000 per ton"
Under the hood, in under 30 seconds:
- Gemini 3.1 Flash extracts → crop type, quantity, price, urgency
- AI Reasoning Engine scores → urgency level, weather risk, vehicle recommendation
- Elastic MCP (24 tools) → geo-matches nearest available buyer + transporter
- FCM push notification → driver gets haul assignment
- Driver completes → Gate 1 pickup + Gate 2 delivery confirmation
- Stripe → 80% to farmer, 15% to driver, 5% platform fee. Same day.
No phone calls. No middlemen. No 3-day delays.
The Tech Stack-
AI Agent - Google Agent Platform, LLM - Gemini 3.1 Flash Lite Preview, Search - Elastic MCP — 24 tools, Backend - Firebase (Firestore, Auth, Cloud Functions) Payments - Stripe, Mobile - Flutter (3 Android apps) Admin - Flutter Web
The Elastic MCP server is the heart of the matching layer. It exposes 24 tools covering semantic crop search, geo-distance queries, transporter availability matching, index health monitoring, and BigQuery analytics. Every search the buyer runs fires a real geo-distance query against the listings index in real time — you can watch it in the Elastic search profiler.
The Feature I'm Most Proud Of: Offline-First Listing
Farmers often operate in areas with poor connectivity. Someone out in a field with no signal shouldn't lose their listing.
So I built the Harvest Agent to be offline-first:
Farmer speaks or types their crop details — no internet detected
App shows an offline badge and queues the message locally
The moment connectivity returns — listing syncs and goes live automatically
Zero farmer action needed
This was the hardest part to get right. The local queue needed to survive app restarts, handle partial sync failures, and not create duplicate listings on reconnect. It took more debugging than the entire AI integration.
Three Apps, One Platform
All three apps are built in Flutter and share the same Firebase project:
Farmer App (Grower)
Voice + text AI listing creation
Offline message queue with auto-sync
Real-time listing status tracking
Earnings dashboard
Buyer App (Producer)
Natural language surplus search
Geo-filtered results with radius control
Claim and reserve listings
Live transport tracking
Driver App (Transporter)
FCM haul notifications
GPS route guidance to farm
Gate 1 + Gate 2 photo capture
Instant payment on delivery confirmation
You can download and install all three APKs from the GitHub release and walk through the complete end-to-end flow yourself. APK links are in the Links section at the bottom.
(Enable "Install from unknown sources" in Android settings first)
What I'd Build Next
A few things I want to add after the hackathon:
Price intelligence — Gemini currently recommends a price band but doesn't pull live commodity market rates; integrating real-time agri pricing APIs would make this genuinely powerful
iOS builds — currently Android only; the Flutter code is cross-platform but Apple provisioning didn't make the deadline
Multi-language AI agent — supporting regional languages so the Harvest Agent works natively for farmers regardless of where they are in the world
Links
Demo Video
https://youtu.be/0ZdplkglDBo
Landing Page
https://micro-harvest-landing.web.app
️ Admin Panel
https://micro-harvest.web.app
GitHub
https://github.com/ssurekumar01111-hue/micro-harvest
Farmer APK
https://github.com/ssurekumar01111-hue/micro-harvest/releases/download/v1.0.0/grower-release.apk
Buyer APK
https://github.com/ssurekumar01111-hue/micro-harvest/releases/download/v1.0.0/producer-release.apk
Driver APK
https://github.com/ssurekumar01111-hue/micro-harvest/releases/download/v1.0.0/transporter-release.apk
Building this solo in Flutter + Firebase was genuinely fun — the Google Agent Platform + Elastic MCP combination is seriously powerful for this kind of multi-party matching problem. Happy to answer questions about any part of the architecture in the comments.