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NetherlandsAgriTech / Deep TechLive in production

Case Study

AgriSense

AI Crop Disease Detection App

Detect. Diagnose. Heal.

See the results
AgriSense AI Crop Disease Detection App interface designed and built by Akxens
95%
Diagnosis accuracy
Real-time
Field mapping
Project
Engagement type
TensorFlow Lite
Core technology

Quick Answer

What is AgriSense?

AgriSense is an AI crop disease detection app built by Akxens in the Netherlands. Farmers scan leaves with a phone camera, on-device computer vision diagnoses diseases and nutrient deficiencies, and the app recommends treatments, products, and chats with agronomy experts.

Some client details are withheld under a non-disclosure agreement.

The challenge

Farmers often spotted crop disease too late, and expert agronomists were expensive and hard to reach.

The solution

Akxens trained computer vision models that run on-device with TensorFlow Lite, and built an app with diagnosis, treatment guidance, product recommendations, and expert chat.

How we built it

Our delivery approach for AgriSense, from discovery to launch.

  1. 01

    Dataset

    Collected and labelled leaf images across crops and diseases.

  2. 02

    Edge models

    Trained and compressed models for on-device inference.

  3. 03

    Farmer app

    Built scan, diagnosis, and treatment flows.

  4. 04

    Expert network

    Added booking and chat with agronomists.

Key features

What AgriSense delivers for its users every day.

  • TensorFlow Lite
  • Swift
  • Python
  • IoT Edge

Scan to diagnose

Identify diseases from a single photo.

Works offline

On-device AI runs without internet in the field.

Treatment guidance

Recommended actions and products.

Expert chat

Book and message agronomists in-app.

The outcome

  • Enabled early disease detection before yield loss
  • Brought expert agronomy to every farmer
  • Worked reliably offline in the field

AgriSense: frequently asked questions

What is AgriSense?

AgriSense is an AI crop disease detection app built by Akxens in the Netherlands. Farmers scan leaves with a phone camera, on-device computer vision diagnoses diseases and nutrient deficiencies, and the app recommends treatments, products, and chats with agronomy experts.

What technology was used to build AgriSense?

AgriSense was built by Akxens using TensorFlow Lite, Swift, Python, IoT Edge.

Can Akxens build a platform like AgriSense for my business?

Yes. Akxens designs and builds custom AgriTech / Deep Tech software like AgriSense, from discovery and architecture to launch and ongoing support. Book a call to discuss your requirements.

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