Cassava Plant Disease Identify 4+

Jose Bello

iPhone용으로 디자인됨

    • ₩4,400

iPhone 스크린샷

설명

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.

새로운 기능

버전 1.8

Improved the accuracy of the identifier, as more photos has been added to the dataset. So the machine learning engine has become more adaptive.

앱이 수집하는 개인정보

Jose Bello 개발자가 아래 설명된 데이터 처리 방식이 앱의 개인정보 처리방침에 포함되어 있을 수 있다고 표시했습니다. 자세한 내용은 개발자의 개인정보 처리방침을 참조하십시오.

데이터가 수집되지 않음

개발자가 이 앱에서 데이터를 수집하지 않습니다.

개인정보 처리방침은 사용하는 기능이나 사용자의 나이 등에 따라 달라질 수 있습니다. 더 알아보기

지원

  • 가족 공유

    가족 공유를 활성화하면 최대 6명의 가족 구성원이 이 앱을 사용할 수 있습니다.

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