Wine Plant Disease Analysis using Machine Learning

Abstract

Abstract: Powdery mildew and other plant illnesses are a big problem in agriculture specially Wine. Every year farmers from all over the world loses many plants and money. Due to the climate change this will enlarge continuously. The fight against these diseases is expensive and time-consuming. In this paper I will talk about especially Wine related diseases like powdery mildew how it can be reduced by using Drone and machine learning as a helpful tool. Keywords: Machine learning, Drone, Tensor Flow, Annotation, AZURE, Powdery mildew, CNN (Convolution neural network).

Code and data availability

The paper describes a drone/CNN powdery mildew pipeline (Supervisely annotation, Azure, Mask R-CNN via PixelLib) but provides no public dataset, image collection, code, or trained model with any availability statement or URL. Figures are illustrative only; references are generic external sources.

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