Plant Diseases Prediction Using Image Processing and Machine Learning Techniques: Survey
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Plant Diseases Prediction Using Image Processing and Machine Learning Techniques: Survey
Abstract-This survey literature discusses on mechanisms to early detect agricultural plant leaves’ diseases for the quantitative and qualitative safety of the products using machine learning and image processing techniques. As a result, in this survey, different machine learning techniques, such as Artificial Neural Network, Support vector machine, Convolutional neural network, K-nearest neighbor, Nave bayes, Radial basis function, Self organizing map, Fuzzy inference system, minimum distance criterion, least square support vector machine, Feed forward neural network and learning vector quantization were used and their significances are also described.
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