1.3 Сейф для установки
Early symptoms of diseases in plants can develop gradually, presenting a challenge for farmers in timely detection and accurate diagnosis. Typically, leaves serve as the primary indicator for detecting infections.
A helpful tool for farmers is an application that facilitates diagnosing diseases in tomato plants by simply scanning the leaves with a smartphone. This app not only identifies the disease but also provides recommendations for crop maintenance.
Plant diseases pose a significant threat to modern agricultural production, impacting yield levels. Assessing disease severity is crucial for measuring the extent of the disease, predicting crop output, and determining appropriate treatment strategies. Therefore, expedited and precise disease diagnosis is vital for minimizing yield losses.
Additional Advantages:
- You can safeguard your crops.
- You can increase crop yields.
- You can ensure a more dependable food source.
By utilizing computer vision techniques, this app offers a platform to monitor disease types and severity, ultimately enhancing agricultural productivity. The incorporation of an expansive image database containing thousands of images of tomato leaves ensures maximum diagnostic accuracy.
In instances where an image cannot be identified, users have the option to report it through the app, facilitating continuous improvement of the database through automated email reporting to the developer.
The primary goal of this application is to assist farmers in cultivating larger and healthier crops, promoting sustainability.
If you have any inquiries, please feel free to reach out via email at [email protected]
Обзор
Tomato Diseases Identification — это Commercial программное обеспечение в категории Системные утилиты, разработанное Jose Martin.
Последняя версия Tomato Diseases Identification-1.3, выпущенный на 22.05.2024. Первоначально он был добавлен в нашу базу данных на 22.05.2024.
Tomato Diseases Identification работает на следующих операционных системах: iOS.
Пользователи Tomato Diseases Identification дал ему Рейтинг 4 из 5 звезд.
Родственный
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