# Plants Disease Identification — Plant Snap Identifier for Care

> Automated plant disease detection and classification from leaf images. (iPhone/iPad app by Jorge Gregorio Martin Bello.)

- Source: https://appshunter.io/ios/app/plants-disease-identification/id1487234676 (this page in markdown: same URL + `.md`)
- Developer: [Jorge Gregorio Martin Bello](https://appshunter.io/developer/567988393)
- Category: Utilities, Education
- Price: $2.99 with in-app purchases
- Rating: 2.30/5 from 30 App Store ratings · 36 written reviews indexed
- Age rating: 4+
- Requires: iOS 12.0 · 102 MB
- Languages: American English
- Released: 2020-01-07
- Data updated: 2026-08-02
- Monetization: free with in-app purchases
- User reviews in markdown: https://appshunter.io/ios/app/plants-disease-identification/id1487234676/reviews.md

## What is Plants Disease Identification?

The symptoms of plant diseases are evident in different parts of a plant;
 however leaves are found to be the most commonly observed part for detecting an infection.

This app automate the process of plant disease detection and classification with leaf images.

Machine learning Apple technology classify effectively the plant diseases. 

Agricultural productivity is something on which economy highly depends. 
This is the one of the reasons that disease detection in plants plays an important role
 in agriculture field, as having disease in plants are quite natural. 
If proper care is not taken in this area then it causes serious effects on plants 
and due to which respective product quality, quantity or productivity is affected. 

A large database is used to provide the following accuracy for each plant:

Apple
Blueberry
Cherry
Corn
Grape
Orange
Peach
Pepper
Potato
Raspberry
Soybean
Squash
Strawberry
Tomato

I hope this app helps you to avoid diseases in your plants.
Download now!

## Key features

- Automated disease detection
- Leaf image analysis
- Machine learning classification
- Supports 15+ plant types
- Accuracy information provided

## Pricing and in-app purchases

Base price: $2.99.

**One-time purchases**

| Purchase | Price | Type |
| --- | --- | --- |
| Remove Ads | $1.99 | one-time |


## Recent user reviews (10 of 36)

All indexed reviews: https://appshunter.io/ios/app/plants-disease-identification/id1487234676/reviews.md

### 2/5 — Lua

*2025-10-16, version 2.2*

It is just for a few plants , not worthy

### 1/5 — Too limited

*2024-07-09, version 2.2*

Only identifies a few diseases in a few select plants.

### 1/5 — Scam

*2024-05-29, version 2.2*

Scam for only picking up 38 different diseases? I couldn’t even get it to pick up blight on a hydrangea. Are you kidding me 38 diseases..that’s nothing and only on the handful of plants. You have got a lot of nerve charge anyone $2.99 for this app and shame on Apple for even allowing to be on the Apple Store.

### 1/5 — Avaliação app

*2024-04-07, version 2.2*

Não conseguiu identificar a planta  
O app se diz identificador de doenças  mas não funcionou

### 1/5 — Scam

*2023-07-14, version 2.2*

This app is a rip off. I’m unable to get anything to detect. The photos become miniature and in the corner instead of the scan area. So it always gives no data available.

In addition there is no way to contact the manufacturer for assistance or a refund.

### 1/5 — Enganação isso sim - Deception, that's right

*2023-07-09, version 2.2*

Um sagu com pragas ele identificou como “corn Healthy” e me parabenizou porque o milho está saudável???

Por isso cobra uma única vez!! 

A sago with pests he identified as "corn Healthy" and congratulated me because the corn is healthy???

That's why it charges only once!!

### 1/5 — Roubo

*2023-03-04, version 2.2*

Depois que paguei pelo app ele explicou quais as plantas que ele identifica.
E normalmente frutíferas.
Paguei a toa

### 1/5 — If I could give zero stars, I would

*2022-10-01, version 2.2*

Tried to use it to figure out what was affecting my tomato plants and it could never actually identify them. So frustrating!

### 1/5 — Useless App

*2022-08-09, version 2.2*

Purchased and downloaded the app. Can’t even identify the plant or the disease. Each time I photographed my orange with spots on the leaves it told me it was something different - corn, peach REALLY!!!  This is just a scam.

### 1/5 — Waste of $2.99. It  couldn’t identify tomato plants

*2022-07-20, version 2.2*

Iitttt

## Frequently asked questions about Plants Disease Identification

### What does the Plants Disease Identification app do?

This app automates the process of detecting and classifying plant diseases by analyzing images of plant leaves. It uses machine learning to identify infections, helping users take appropriate care measures.

### How accurate is the disease identification?

The app utilizes a large database to provide accuracy for each supported plant. While the description doesn't give a specific percentage, it aims to offer reliable identification for a variety of common plants.

### What plants are supported by this app?

The app supports a wide range of plants including Apple, Blueberry, Cherry, Corn, Grape, Orange, Peach, Pepper, Potato, Raspberry, Soybean, Squash, Strawberry, and Tomato.

### Is this app free to use?

The app is free to download and use, but it does offer in-app purchases. This suggests that some features or advanced functionalities might require a purchase.

### How can this app help with agricultural productivity?

By enabling early and accurate detection of plant diseases, the app helps prevent serious effects on plants. This, in turn, protects the quality, quantity, and overall productivity of crops, which is crucial for agricultural economies.

## Version history (last 5 releases)

### 2.2 — 2021-11-13

Artificial Intelligence model improved.

### 2.1 — 2021-08-12

Improved the file that predict the disease.

### 2.0 — 2021-07-03

Image cropping to improve the identification.

### 1.9 — 2020-08-12

Improved detection model.

### 1.8 — 2020-06-17

Model to detect plant diseases improved.

## Apps similar to Plants Disease Identification

| App | Rating | Price | Category |
| --- | --- | --- | --- |
| [Plant & Leaf Identification](https://appshunter.io/ios/app/plant-and-leaf-identification/id1572902876) | 4.5 (106) | Free | Utilities |
| [Identify Insects Plants Birds](https://appshunter.io/ios/app/identify-insects-plants-birds/id1576288164) | 4.5 (342) | Free | Utilities |
| [Plant ID - Identifier & Care](https://appshunter.io/ios/app/plant-id-identifier-and-care/id6736413416) | 4.6 (12) | Free | Utilities |
| [Plant Disease Identifier Prime](https://appshunter.io/ios/app/plant-disease-identifier-prime/id1524625944) | 3.9 (26) | $4.99 | Utilities |
| [Plant ID - Identify Plants](https://appshunter.io/ios/app/plant-id-identify-plants/id1508899687) | 4.6 (564) | Free | Utilities |
| [Plant ID Match: Identification](https://appshunter.io/ios/app/plant-id-match-identification/id1567064378) | 4.8 (597) | Free | Utilities |

## More apps by Jorge Gregorio Martin Bello

- [Sexy Dresses-Hot Sexy Costume Dress Up](https://appshunter.io/ios/app/sexy-dresses-hot-sexy-costume-dress-up/id732817583)
- [Scary Ghost Prank:Spirit Radar](https://appshunter.io/ios/app/scary-ghost-prankspirit-radar/id736134792)
- [Perfect Hairstyle and Hair Cut](https://appshunter.io/ios/app/perfect-hairstyle-and-hair-cut/id764595159)
- [Tu Peinado Perfecto](https://appshunter.io/ios/app/tu-peinado-perfecto/id773123600)
- [Camara Paranormal-Broma de Terror](https://appshunter.io/ios/app/camara-paranormal-broma-de-terror/id777273982)
- [Your Perfect Hairstyle for Men](https://appshunter.io/ios/app/your-perfect-hairstyle-for-men/id790674916)

All apps by Jorge Gregorio Martin Bello: https://appshunter.io/developer/567988393

## Related topics

[disease identification](https://appshunter.io/ios/topics/disease-identification) · [identify tomato plant diseases](https://appshunter.io/ios/topics/identify-tomato-plant-diseases)

---

*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 2026-08-02.*
