Description
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 tomato 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 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 of tomato leafs) has been used to get the maximum accuracy.
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 [email protected]
Hide..
Show more..
All the farmers have to do is to wave the phone in front of the leaf of a tomato 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 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 of tomato leafs) has been used to get the maximum accuracy.
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 [email protected]
Screenshots
User Rating
App is not rated in Indonesia yet.
Ratings History
Tomato Diseases Identification Installs
Last 30 days
Tomato Diseases Identification Revenue
Last 30 daysTomato Diseases Identification Reviews
No Reviews in Indonesia
App doesn't have any reviews in Indonesia yet.
Store Rankings
Ranking History
App Ranking History not available yet
Category Rankings
App is not ranked yet
Keywords
Tomato Diseases Identification Revenue and Downloads
Gain valuable insights into Tomato Diseases Identification performance with our analytics.
Sign up now to access downloads, revenue, and more.
Sign up now to access downloads, revenue, and more.
App Info
- Category
- Utilities
- Publisher
- Jose Martin
- Languages
- English
- Recent version
- 1.3 (3 years ago )
- Released on
- Jun 3, 2021 (3 years ago )
- Also available in
- United States, China, Malaysia, Pakistan, Philippines, Peru, New Zealand, Norway, Netherlands, Nigeria, Portugal, Mexico, Lebanon, Kazakhstan, Kuwait, South Korea, Japan, Poland, India, Romania, Russia, Saudi Arabia, Sweden, Singapore, Slovakia, Thailand, Turkey, Taiwan, Ukraine, Vietnam, South Africa, Dominican Republic, Argentina, Austria, Australia, Azerbaijan, Belgium, Brazil, Belarus, Canada, Switzerland, Chile, Colombia, Czechia, Germany, Denmark, Italy, Algeria, Ecuador, Egypt, Spain, Finland, France, United Kingdom, Greece, Hong Kong, Hungary, Indonesia, Ireland, Israel, United Arab Emirates
- Last updated
- 4 weeks ago