Open AccessWine Plant Disease Analysis using Machine Learning
Author(s) -
Deepak Kumar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40276
Subject(s) - powdery mildew , wine , convolutional neural network , computer science , artificial intelligence , machine learning , agronomy , biology , food science
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).