AI solutions for plant disease recognition
Mobile applications are developed that use a smartphone camera and artificial intelligence to detect plant diseases and pests
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Mobile applications are developed that use a smartphone camera and artificial intelligence to detect plant diseases and pests
The model is based on a computer vision model trained on thousands of images of plants with various diseases. The user simply takes a photo of the affected leaf or fruit, and the application sends the photo to the server. There, a neural network analyses the image and identifies the disease or pest with a high degree of probability. The system can then provide recommendations on the necessary drugs.
Thousands of disease photos are collected and categorized
A model for recognition is created and trained
A simple interface for taking photos is created
Where the trained model will work
A reference book of diseases and recommendations is created
Timely and accurate identification of the disease is paramount for the effective preservation of the crop. It is important to note that farmers may not always have access to a qualified agronomist. An AI-diagnostic app provides a rapid and cost-effective second opinion. This allows for the prompt initiation of treatment, the selection of the most appropriate drug, and the prevention of significant crop losses.
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We employ diverse web programming methods for smooth platform operation. Our full web development cycle encompasses different programming languages for optimal technical solution architecture.
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We conduct thorough research on the client's business to identify areas for improvement before beginning any development work. Our planning phase is crucial to ensuring successful outcomes and delivering better results.
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To ensure optimal productivity for your business on web and mobile devices, we offer a comprehensive mobile app development solution. Our services include complete native development for iOS and Android to cater to your client needs.
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Before launching the project, we rigorously test the product with three types of test automation services: unit tests, E2E tests, and integration tests. This ensures that everything operates smoothly before you launch to the market.
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