Diagnostics system for plant leaf diseases using photo images

The subject under consideration is the issue of detecting agricultural crop diseases. preliminary data for determining phytosanitary status cultivated plants are images their leaves. To tackle this issue, a model diagnostic algorithms has been proposed, which involves creating set preferred characteristics and making decisions based on comparing these features. process establishing outlined. effectiveness proposed demonstrated in diagnosing wheat diseases leaf images. A novel technique plant introduced, relying digital RGB photographs leaves visible spectrum. novelty method lies symptoms from photographic There significant number that can reduce productivity, resulting economic environmental damage. Consequently, accurate timely diagnosis paramount. One widely used approach pathologies using convolutional neural networks to diagnose