| The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
| Developers: | R-Style Softlab |
| Date of the premiere of the system: | 2025/08/21 |
| Branches: | Agriculture and fishing |
| Technology: | Video Analytics Systems |
The main articles are:
2025: Introducing Development for Agroculture Disease Recognition
R-Style Softlab on August 21, 2025 presented a development that allows you to quickly identify agroculture disease from photos. The platform allows diagnosing diseases of agricultural and fruit and vegetable plants, obtaining recommendations for treatment and preventing the spread of diseases in the future.
The platform allows agronomists and farmers to accurately diagnose the phytosanitary state of plants in real time. To do this, the user just needs to upload a photo of the leaf, fruit or stem of the plant to a mobile application or web interface. Algorithmic machine learning processes the image, compares it with an extensive database of diseases and gives the result with treatment recommendations.
The online service works on the basis of data from the generative network and allows you to obtain variants of possible plant diseases with high accuracy based on the images provided.
According to R-Style Softlab, further training of the neural network will be conducted on the basis of data sets of Kazan State Agrarian University.
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