Cassava Plant Disease Identify
Diseases Identifier Using Leaf
$2.99
1.8for iPhone, iPod touch
Age Rating
Cassava Plant Disease Identify Screenshots
About Cassava Plant Disease Identify
Because symptoms in diseased cassava plants can appear slowly, it is very difficult for farmers to notice and correctly diagnose the disease. Leaves are the most commonly observed part for detecting an infection.
All the farmers have to do is to wave the phone in front of the leaf of a diseased plant and the app would diagnose it and suggest ways to maintain the crop.
The cassava plant (also known as yuca, macaxeira, mandioca, aipim and agbeli) diseases are a major thread to losses of modern agricultural production. Cassava plant disease severity is an important parameter to measure disease level and thus can be used to predict yield and recommend treatment. The rapid, accurate diagnosis of disease severity will help to reduce yield losses.
Another Advantages:
+ You can protect them.
+ You can grow more crops.
+ You can have more reliable source of food
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 cassava plant.
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 will be improving 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.
For any doubt, please contact me at bellostudios@gmail.com.
All the farmers have to do is to wave the phone in front of the leaf of a diseased plant and the app would diagnose it and suggest ways to maintain the crop.
The cassava plant (also known as yuca, macaxeira, mandioca, aipim and agbeli) diseases are a major thread to losses of modern agricultural production. Cassava plant disease severity is an important parameter to measure disease level and thus can be used to predict yield and recommend treatment. The rapid, accurate diagnosis of disease severity will help to reduce yield losses.
Another Advantages:
+ You can protect them.
+ You can grow more crops.
+ You can have more reliable source of food
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 cassava plant.
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 will be improving 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.
For any doubt, please contact me at bellostudios@gmail.com.
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What's New in the Latest Version 1.8
Last updated on Aug 11, 2021
Old Versions
Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.
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Version History
1.8
Aug 11, 2021
Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.
1.7
Dec 18, 2020
Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.
1.5
Oct 8, 2020
Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.
1.4
Sep 27, 2020
Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.
1.3
Sep 5, 2020
Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.
1.2
Aug 22, 2020
Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.
1.1
Aug 18, 2020
Cassava Plant Disease Identify FAQ
Click here to learn how to download Cassava Plant Disease Identify in restricted country or region.
Check the following list to see the minimum requirements of Cassava Plant Disease Identify.
iPhone
Requires iOS 13.0 or later.
iPod touch
Requires iOS 13.0 or later.
Cassava Plant Disease Identify supports English
