Plant Disease Identifier Prime
Diseases Detection Using Leaf
R$ 24,90Best Deal Ever
5.6for iPhone, iPad and more
Age Rating
Plant Disease Identifier Prime Capturas de tela
About Plant Disease Identifier Prime
Because symptoms in diseased 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 plant diseases are a major thread to losses of modern agricultural production. 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 grow more crops.
+ You can protect them.
+ 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 for each plant:
Apple, Cherry, Corn, Grape, Orange, Peach, Pepper, Potato, Raspberry, Soybean, Squash, Strawberry and tomato.
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 plant diseases are a major thread to losses of modern agricultural production. 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 grow more crops.
+ You can protect them.
+ 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 for each plant:
Apple, Cherry, Corn, Grape, Orange, Peach, Pepper, Potato, Raspberry, Soybean, Squash, Strawberry and tomato.
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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Novidades da Última Versão 5.6
Last updated on Apr 6, 2023
Versões Antigas
The accuracy of the identifier has been improved, the machine learning engine has become more adaptive.
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Version History
5.6
Apr 6, 2023
The accuracy of the identifier has been improved, the machine learning engine has become more adaptive.
5.5
Jul 6, 2022
The accuracy of the identifier has been improved, the machine learning engine has become more adaptive.
5.4
Apr 19, 2022
Improved the accuracy of the identifier, the machine learning engine has become more adaptive.
5.3
Mar 17, 2022
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
5.2
Sep 22, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
5.1
Aug 31, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
5.0
Aug 22, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
4.8
Aug 6, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
4.7
Jul 19, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
4.6
Jun 29, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
4.5
Jun 23, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
4.4
Feb 25, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
4.3
Feb 15, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive.
4.2
Feb 8, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive. Added camera object detection to take accurate pictures.
4.1
Jan 22, 2021
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
4.0
Dec 23, 2020
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
3.9
Dec 21, 2020
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
3.8
Dec 12, 2020
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
3.7
Dec 4, 2020
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
3.6
Nov 18, 2020
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
3.5
Nov 3, 2020
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
3.4
Oct 16, 2020
Improved the accuracy of the classifier, as more photos has been added to the huge dataset. So the machine learning engine has become more adaptive
3.3
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.
2.6
Oct 7, 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.
2.0
Sep 26, 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.
Preço de Plant Disease Identifier Prime
Hoje:
R$ 24,90
O Mais Baixo:
R$ 24,90
O Mais Alto:
R$ 27,90
Plant Disease Identifier Prime FAQ
Clique aqui para saber como baixar Plant Disease Identifier Prime em um país ou região restrita.
Confira a lista a seguir para ver os requisitos mínimos de Plant Disease Identifier Prime.
iPhone
Requer o iOS 12.0 ou posterior.
iPad
Requer o iPadOS 12.0 ou posterior.
iPod touch
Requer o iOS 12.0 ou posterior.
Plant Disease Identifier Prime suporta Inglês
Vídeos Relacionados
Latest introduction video of Plant Disease Identifier Prime on iPhone
