Automated Mushroom Species Identification and Prediction Using Image Processing and Machine Learning

Mushroom species distinguishing proof may be a basic assignment in mycology, with noteworthy suggestions for biology, pharmaceutical, and nourishment security. Traditional strategies of distinguishing proof, depending on master information and manual examination, are regularly time- devouring and inclined to human mistake. This venture points to create an, and F1 score. The framework will moreover join a user-friendly instrument that empowers clients to yield photographs and get momentary gauges with respect to the species and edibility of the mushroom. By automating the distinguishing proof handle, this venture points to supply a fast, solid, and available instrument for mycologists, analysts, and the common open. This advancement holds the potential to essentially decrease the chance of mushroom harming, help within the preservation of biodiversity, and back different logical considers in mycology.