# WeedScan

> Identify and map invasive weeds in Australia for agricultural monitoring and control. (iPhone/iPad app by Invasive Animals Limited.)

- Source: https://appshunter.io/ios/app/weedscan/id6446067750 (this page in markdown: same URL + `.md`)
- Developer: [Invasive Animals Limited](https://appshunter.io/developer/634197152)
- Category: Utilities, Reference
- Price: Free
- Rating: 2.71/5 from 14 App Store ratings · 9 written reviews indexed
- Age rating: 4+
- Requires: iOS 15.6 · 47 MB
- Languages: American English
- Released: 2023-05-21
- Data updated: 2026-09-07
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/weedscan/id6446067750/reviews.md

## What is WeedScan?

Invasive weeds cause significant damage to our environment and economy.



This App can be used to identify and record the location of weeds throughout Australia. WeedScan is for use primarily in the agriculture sector. Your records can be submitted to the Weedscan community website https://weedscan.org.au/, to help develop and maintain an up-to-date picture of weeds throughout your region. This information can be used to monitor populations, and to better target weeds through coordinated control programs. Please note that continued use of GPS running in the background can dramatically decrease battery life.

## Key features

- Identify invasive weeds
- Record weed locations
- Submit records to community website
- Monitor weed populations
- Target weed control programs

## Recent user reviews (9 of 9)

All indexed reviews: https://appshunter.io/ios/app/weedscan/id6446067750/reviews.md

### 2/5 — Yeah Na

*2025-10-05*

I really like the idea of this app and we really need this sort of thing, but for the app to identify Myriophyllum aquaticum (a pond weed) as Erica arborea (a shrub / small tree). 

Yeah an

**Developer response:** Thanks for your feedback. We’re sorry about the incorrect ID issues. If you still have the photo(s), please send them to weeds@invasives.com.au to help investigate. We are working on an update which significantly increases the number of training images per species, so identification suggestions should be more accurate soon. This includes the training sets for Myriophyllum aquaticum and Erica arborea.

### 1/5 — Clunky and misleading

*2025-09-07*

The menu is unintuitive but I figured it out. Three easy photos were incorrectly “identified” with low confidence 30-40% which I determined by comparing mine to reference photos in the app. Sometimes it says “AI may make mistakes, please suggest a different species” then a list of 20 zillion names is presented. Doh, how about ask AI to try again, and present PHOTOS of possible matches!? Users should be able to work through a process of elimination  until a suggestion matches the observation.

**Developer response:** Thanks for your feedback. We’re sorry the suggestions were inaccurate. We’re working on a new update which includes many changes to improve the ID component. Primarily substantially larger training sets for the model to learn on, nearly double the species coverage, and implementing a threshold of confidence, below which a record cannot be created due to uncertainty. We’re looking into ways we can make the species list easier to navigate (for disagreeing with the suggestion) including filtering options.

### 3/5 — ID needs work

*2025-03-12*

First image I put in, the ID the app provided is very wrong and I can’t even change it to the correct ID. The bones of this app are great but please fix the ID component.

**Developer response:** Thanks for your feedback. We’re working on a new update which includes many changes to improve the ID component. Primarily substantially larger training sets for the model to learn on, nearly double the species coverage, and implementing a threshold of confidence, below which a record cannot be created due to uncertainty.

### 5/5 — Amazing

*2024-11-19*

Great App, so useful, minor inaccuracies but it makes me happy

**Developer response:** Hi there, thanks so much for the positive feedback! We will continue to work on ironing out inaccuracies, and keep an eye out for a new update soon with many more species!

### 1/5 — Absolutely unreliable

*2024-08-25*

Randomises and can’t make up its mind…after significant trials.

**Developer response:** Hi there, thanks for your feedback. We’re sorry that WeedScan did not identify weeds well for you. WeedScan uses a live updating image recognition engine that provides suggestions, and the speed with which these suggestions update can be tailored using the settings menu (under “Weed Update Frequency”). If it is cycling through suggestions quickly then it’s likely that it is quite unsure of species, and thus a less reliable estimate. This is usually because the species is not covered by the WeedScan AI model, or the image is being captured from too far away from the plant.


Regarding accuracy, if you have specific examples, we could review please get in touch with us at weeds@invasives.com.au, it would help us identify where to improve for future updates.

### 1/5 — Its always wrong

*2024-05-19*

Really needs to be reworked. It is consistently wrong. This should of been more extensively tested before being released.

**Developer response:** Hi there, thanks for your feedback. We’re sorry that WeedScan did not identify weeds well for you. WeedScan is currently trained on 459 priority weeds and lookalike species which are viewable on our species list. We have found from reviewing the observations that many users are photographing plants that are not on this list, predominantly common lawn and garden weeds. We are working to address this issue, but if you have specific examples, we could review please get in touch with us at weeds@invasives.com.au.

### 2/5 — Great idea still needs work

*2024-02-09*

This is an app that would benefit us greatly but basic functionality doesn’t work, weeds are constantly identified as Lantana, bug reports and requests for help are not answered.

**Developer response:** Hi there, thanks for the feedback! We’re sorry that WeedScan did not meet your expectations. Regarding the plants wrongly identified as Lantana, did you know which plants they were? There are many common garden plants that are not covered by the WeedScan model with quilted looking leaves which closely resemble Lantana. If the app has suggested Lantana but with low confidence then it is likely that the plant isn’t Lantana but a species that isn’t in the AI model.


Apologies for a slow response to your bug reports at the time, the staff member who manages the mailbox was in the field for a few weeks, but I believe you should have received a response afterwards. If this is not the case, please get in touch. If you keep experiencing bugs with the app or the image recognition model, please get in touch with us at weeds@invasives.com.au (mentioning your device type if possible).

### 4/5 — Pretty good but some rough edges

*2023-12-21*

Pros: Accurately identifies plants that it knows, even if only leaves are present. For weeds, it is important to identify them at any growth stage. 

Cons: It is obviously a version 1.0 product and needs a few fixes. In particular, the experience of anonymous weed reports could be better as there is not much feedback that the report has landed in the appropriate place

**Developer response:** Hi there, thanks for the feedback and we’re glad you’re liking WeedScan so far. Yes, WeedScan is trained on leaves as well as flowers and fruit, and only able to identify the 459 species that it knows. We appreciate and will consider your feedback on anonymous weed reports for future updates.

### 1/5 — Useless

*2023-12-02*

I tried on a few garden weeds in Brisbane. 100% wrong. Removed immediately

**Developer response:** We are sorry that you had a negative experience using WeedScan. WeedScan was primarily designed to identify priority weeds in environmental and agricultural contexts and is not intended to identify many common garden weeds. You may want to have a look at our list of identifiable weeds to make sure the weeds in your garden are also in our AI model.

## Frequently asked questions about WeedScan

### What is WeedScan used for?

WeedScan is used to identify and record the locations of invasive weeds, primarily for the agriculture sector in Australia. It helps in monitoring weed populations and planning control efforts.

### Can WeedScan be used outside of Australia?

The description specifically mentions its use for identifying and recording weeds throughout Australia. It is designed with the Australian agricultural context in mind.

### Does WeedScan have ads?

No, WeedScan does not contain advertisements. It is a free application without any in-app purchases or ads.

### What devices does WeedScan support?

WeedScan is available for iPhone and iPod devices. It is not currently listed as supporting Android devices.

### How often is WeedScan updated?

The latest version of WeedScan is 1.0.11, last updated on June 22, 2026. This indicates a recent update to the application.

### What is the age rating for WeedScan?

WeedScan has an age rating of 4+, making it suitable for a wide range of users. This rating suggests it contains no mature content.

### What is the user feedback on WeedScan?

WeedScan has an average rating of 2.7 stars from 14 ratings. This suggests that user satisfaction may be mixed.

### How does WeedScan contribute to weed management?

By allowing users to identify and record weed locations, WeedScan helps build a community-driven map. This data can be used to monitor populations and better target coordinated control programs.

## Version history (last 5 releases)

### 1.0.11 — 2026-06-22

Weedscan has been updated and can now identity an additional 480 plant species (930 total), and comes with a number of bug fixes and performance improvements

### 0.10.10 — 2023-12-11

BugFix 

Apple - ORT model failure now rejects the promise 
 - should give error message 
 - likely prompts to redownload. 
 - untested as yet - cannot reproduce 
 - may still need to address the model breaking / moving 

Features 

Usability changes 
- Observations now show status text as well as logo 
- most buttons are now minSize 48 
-

### 1.0.10.6 — 2023-07-04

Changelog
Bugfixes:
#329 Drop embedded models
#328 Fix loading oscillation in observation images
#327 Change support email address
#325 Add a website link from about 
#323 Move app info to the bug report page

### 1.0.10.5 — 2023-06-29

Features 
#305 - Delete user button added
#306 - Add email for support 
#310 - Cache notifications for offline access 
#312 - setLocation can now only occur from a zoomed on view. 
#314 - add ability to clear the notifications cache
#320 - Images are only downloaded if they have changed
Version increment, remove basecamp. 

Bugfixes
#308 - Search Results map matches the truncation zoom from other maps
#318 - set default map to Australia
#319 - Fix import failing when camera hasn't been opened

### 1.0.10.3 — 2023-06-20

Bugfixes
Fix crash on iOS with new Model
Reduce network timeouts
fix example image sort order
iOS title position on notched phones
fix missing logos
fix refresh of notifications bell
Features
Sort by Scientific or common name
Variable update frequency
Date picker no longer allows bad ranges
max map zoom is limited
notifications icon no longer shows for regular user
minor language changes
main menu reorder
move import button
remove LGA fields
unsaved observations are easier to find
synced observations can no longer be edited
Tutorial page is now shown on first start up

## More apps by Invasive Animals Limited

- [Field Guide to Pest Animals](https://appshunter.io/ios/app/field-guide-to-pest-animals/id634197149)
- [FeralScan Pest Mapping](https://appshunter.io/ios/app/feralscan-pest-mapping/id975407187)
- [FeralScan Pest Animal Reporter](https://appshunter.io/ios/app/feralscan-pest-animal-reporter/id6756160183)

All apps by Invasive Animals Limited: https://appshunter.io/developer/634197152

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-09-07.*
