FarmArmourApp 4+

Dex Vision Pty Ltd

Designed for iPhone

    • Free

iPhone Screenshots

Description

Your phone camera can stop pests.

Take a photo, and then use FarmArmour’s AI software to identify insect pests. We can work together to keep our farmers safe from these threats, protecting livelihoods and the world’s food supply.

Download FarmArmour now to help shield our farms.

The team at Dex Vision is grateful to the Council of Grain Grower Organisations for their support developing our app and the technology that underpins it.

Friend rewards:
For Indonesian customers, join our reward system. We’ll pay Rp 20,000 for every friend you sign up, with a minimum of five signups.

For Indian users, we’ll pay ₹100 (100 rupee) for every user you sign up, with a minimum of five.

Eligibility is while the offer lasts and can be revoked at the discretion of Dex Vision.

Further information:
FarmArmour was designed to identify the majority of the top 40 most serious pest threat insects for Australia. But pests such as the brown marmorated stink bug, khapra beetle and warehouse beetle can impact farmers anywhere in the world.

FarmArmour has been designed to minimise false negatives- consequently, it takes a cautionary approach in identifying threat insects.

Users will see the biological order of the insect, the family, and if it is a particular threat, the genus.

This app is in beta phase.

We’d love your feedback, please get in touch and help us improve FarmArmour.

Ahmed and Matt
Co-founders
Dex Vision

What’s New

Version 1.0.8

Bug Fixes and performance Improvements.

App Privacy

The developer, Dex Vision Pty Ltd, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • Contact Info

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Diagnostics

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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