What Cow: AI Cattle Identifier 2.0.7

What Cow: AI Cattle Identifier 2.0.7

Laurence Wayne  ❘ Freeware
iOS
out of 3 votes
Latest Version
2.0.7
Safe to install
EXCELLENT User Rating

What Cow offers a rapid and user-friendly approach to identifying over 1,000 cattle breeds through AI-driven image recognition technology. Designed for farmers, students, and animal enthusiasts, the application provides a practical tool for breed identification in various settings.

Key aspects include:

  • AI-powered breed recognition: Capture a photograph and receive instant identification results.
  • Comprehensive breed database: Access detailed information on numerous dairy and beef cattle breeds.
  • Offline functionality: Use the app without internet access, facilitating fieldwork in remote locations.
  • Educational resource: An informative tool suitable for students, children, and those interested in livestock management.
  • Intuitive and efficient design: Optimized for real-world farm conditions to deliver swift, accurate results.

Whether you are an industry professional, hobbyist farmer, or simply curious about cattle breeds, What Cow provides a streamlined experience for identification and learning. It is recommended to observe animals from a safe distance to ensure safety and animal comfort.

Download now to enhance your cattle recognition skills through advanced AI technology and expand your understanding of cattle breeds.

Made for Kirsty

Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Overview

What Cow: AI Cattle Identifier is a Freeware software in the category Education developed by Laurence Wayne.

The latest version of What Cow: AI Cattle Identifier is 2.0.7, released on 07/10/2025. It was initially added to our database on 07/10/2025.

What Cow: AI Cattle Identifier runs on the following operating systems: iOS.

Users of What Cow: AI Cattle Identifier gave it a rating of 5 out of 5 stars.

Pros

  • Uses AI to accurately identify individual cattle
  • Helps farmers track and manage livestock efficiently
  • Potentially reduces manual labor and errors in identification
  • Can improve breeding and health monitoring through precise data

Cons

  • May require significant investment in hardware and software
  • Accuracy depends on quality of training data and may vary in different environments
  • Potential privacy or data security concerns
  • Not widely adopted or tested across diverse farm settings

Screenshots (Click to view larger)

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