Version history
Plants Diseases Identifier
39
ASO score
Text
49/100
Reviews
0/100
Graphic
60/100
Other
0/100
App Rating
1.6
Votes
11
App Age
8y
Last Update
Jul 12, 2022
Compare with Category Top Apps
|
Metrics
|
Current App
|
Category Top Average
|
Difference
|
|---|---|---|---|
|
Rating
|
1.59
|
4.45
|
-64%
|
|
Number of Ratings (Voted)
|
11
|
394.3K
|
-100%
|
|
App Age
|
8y 0m
|
6y 3m
|
+27%
|
|
Price
|
$3
|
$0
|
|
|
In-app Purchases Price
|
$0
|
$39
|
|
|
Update Frequency
|
1249d
|
46d
|
+2 594%
|
|
Title Length
|
26
|
25
|
+4%
|
|
Subtitle Length
|
27
|
27
|
|
|
Description Length
|
2 123
|
2 602
|
-18%
|
|
Number of Screenshots
|
854
|
1028
|
-17
%
|
|
Size
|
28MB
|
158MB
|
-82
%
|
Category Ranking in United States
7 days
Last 7 days
Last 30 days
Last 90 days
Last 180 days
Last year
| Top | Dec 04, 2025 | Dec 11, 2025 |
|---|---|---|
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No results were found!
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| Top | Dec 04, 2025 | Dec 11, 2025 |
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No results were found!
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| Top | Dec 04, 2025 | Dec 11, 2025 |
|---|---|---|
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No results were found!
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| Top | Dec 04, 2025 | Dec 11, 2025 |
|---|---|---|
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No results were found!
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Ranking Keywords in United States
| Keywords | App Rank |
|---|
Analyze this and other apps using Asolytics tools
Text ASO
Title
(
Characters:
26
of 30
)
Plants Diseases Identifier
Subtitle
(
Characters:
27
of 30
)
Plant Disease Leaf Detector
Description
(
Characters:
2123
of 4000
)
It is very important to know the disease of your crops since the very beginning. Discover your plant disease using a photo of your plant leaf. Leaves are the most commonly observed part for detecting an infection.
Take note that symptoms in some plants can appear slowly, so usually it is difficult for farmers to notice and correctly diagnose the plant disease.
+ This app could diagnose the disease of the following diseases:
Apple scab, Cedar apple rust, Black rot, Powdery mildew, Cercospora leaf spot, Gray leaf spot, Common rust, Northern leaf blight, Eriophyes vitis, Grape esca (Black Measles), Leaf blight (Isariopsis leaf spot), Orange haunglongbing (Citrus greening), Leaf scorch, Early blight, Leaf Mold,
Septoria leaf spot, Two-spotted spider mite, Tomato target spot, Mosaic virus, Tomato yellow leaf curl virus, Bacterial spot and Late blight.
+ So you can take a picture of the following plant leaves to detect them:
Tomatoes, Pepper, Apple, Pear, Quince, Grape vines, Cabbage, Broccoli, Potato, Lemon, Orange, Sweet potato, Cauliflower, Raspberry, Squash, Corn, Peach, Strawberry, Roses, Apricot, Nectarine and Plum.
The rapid, accurate diagnosis of disease severity will help to reduce yield losses.
Another Advantages:
+ You can have more reliable source of food
+ You can grow more crops.
+ You can protect them.
This app allows the opportunity to use computer vision techniques to monitor the disease type and severity and increase yields.
A huge image database (thousand of images) has been used to get the maximum accuracy using artificial neural networks .
This app has also an option to report an image that couldn’t be recognised. If that is the case, it is automated that you can report it immediately by email to the author. So it guarantees that the database image will be improved constantly.
The intended purpose of this app is help the farmers to build a better and bigger crops, which results in a more sustainable world.
Diseases are a major thread to losses of modern agricultural production. Keep your crops healthy.
For any doubt, please contact me at bellostudios@gmail.com.}
Read more
Other
Additional Information
| Rating: | |
| Voted: | 11 |
| App Store Link: | |
| Price: | 2.99 $ |
| Website: | |
| Email: | - |
| Privacy Policy: | |
| Categories: | Utilities |
| Size: | 28MB |
| App Age: | 8 years |
| Release Date: | Dec 14, 2017 |
| Last Update: | Jul 12, 2022 |
| Version: | 2.0 |
Version history
2.0
Jul 12, 2022
The identifier accuracy has been improved. The supervised machine learning engine has become more adaptive.
1.8
Apr 28, 2022
Accuracy of the identifier has been improved. The supervised machine learning engine is more adaptive.
