Free

Details

  • Released
  • Updated
  • June 2, 2022
  • June 10, 2026
e-Surveyor screenshot #1 for iPhone
e-Surveyor screenshot #2 for iPhone
e-Surveyor screenshot #3 for iPhone
e-Surveyor screenshot #4 for iPhone
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About

Assess the quality of your farm's wildflower habitat using image recognition and a comprehensive plant database. Generate reports on habitat quality based on identified plants and seed mixes.

βœ“Image recognition of plants
βœ“Rich plant and seed mix data
βœ“Habitat quality reporting
βœ“Farm habitat assessment
βœ“Wildflower identification
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What's New in e

1.6.1

June 10, 2026

Fixed image picker.

User reviews

E Surveyor

Easy to use App from a highly respected UK developer. From simple plant identification to more detailed transect surveys and species interaction data. It is a very useful app for both farmers, land owners and those interested in British plants and the wildlife they support.

Developer apps

FAQ

What is e-Surveyor used for?

e-Surveyor is used to assess the quality of wildflower habitats on farms. It utilizes image recognition of plants and a database of seed mixes to generate reports on habitat quality.

Is e-Surveyor free to use?

Yes, e-Surveyor is available for free. There are no in-app purchases or advertisements within the application.

What devices is e-Surveyor compatible with?

e-Surveyor is compatible with iPhone, iPad, and iPod devices. It is designed for iOS users.

What is the age rating for e-Surveyor?

e-Surveyor has an age rating of 4+. This indicates it is suitable for users of all ages.

How often is e-Surveyor updated?

The latest version of e-Surveyor is 1.6.0, last updated on May 20, 2026. Future updates will continue to enhance its features and data.

Who developed e-Surveyor?

e-Surveyor was developed by the Centre for Ecology and Hydrology, an organization focused on environmental research.

Can e-Surveyor identify any plant?

e-Surveyor uses image recognition and a data set of seed mixes and plant attributes to assess habitat quality. Its effectiveness depends on the clarity of the image and the plant's presence in its database.