SaaS · AI AgriTech TÜBİTAK Programme Featured

Tarlamapp

Snap a photo of a sick plant and get a clear diagnosis with next steps.

Photo-Based Plant Diagnosis
Field Growth Tracking
Instant WhatsApp Alerts

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Who It's For: Farm Advisors & Cooperatives
Type: SaaS
Platforms: Web · iOS & Android · REST API
Status: Live

01The Story

From Need to Result

01

The Challenge

Agricultural advisors and cooperatives in Türkiye look after many fields and farmers at once. Spotting a plant disease usually means a site visit and expert judgement, and by the time advice arrives, the problem may have spread.

02

The Solution

I built a platform where anyone in the field can photograph a leaf and receive an AI-generated diagnosis with practical steps to take. Advisors also track each field's growth stage, talk to a voice assistant, and receive alerts on WhatsApp. It was developed at Teknopark İzmir (İYTE) as part of a TÜBİTAK programme.

03

The Result

Advisors can now respond to crop problems quickly from a single photo and keep an eye on many fields and farmers from one place.

02Features

What It Does

AI Leaf Analysis

Upload a photo of a leaf and get an actionable diagnosis instead of a guess.

Growth Stage Tracking

Follow how each crop is developing based on the weather it has had, field by field.

Voice Assistant

Ask questions by voice while out in the field, without typing on a small screen.

WhatsApp Alerts

Diagnoses and warnings arrive on WhatsApp, where farmers and advisors already are.

Plans for Every Team

Each organisation gets its own workspace with a subscription plan that fits its size.

Built to Last

A thoroughly tested foundation keeps the platform reliable as new features are added.

03How It Works

Step by Step

01 step Plant Photo from the Field
02 step AI Leaf Analysis
03 step Actionable Diagnosis
04 step WhatsApp Alert

Technical Details For developers: the architecture and technologies behind the product.

Technical Summary

AI-powered crop diagnosis and field management platform for agricultural advisors and cooperatives in Türkiye. A photo of a plant goes in; an actionable diagnosis comes out. Multi-tenant SaaS with plan-based limits, GDD-based growth tracking, a voice assistant and WhatsApp alerts, built on a framework-independent Clean Architecture core with 655 tests and machine-enforced layer boundaries. Developed at Teknopark İzmir (İYTE) as part of a TÜBİTAK programme.