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Published in:
2021 | OriginalPaper | Chapter
Plant Leaf Disease Detection Using Machine Learning Techniques
Authors : K. Sudha Rani, B. Priya Madhuri
Published in: Computer Networks and Inventive Communication Technologies
Publisher: Springer Nature Singapore
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Abstract
It is generally known that the plants are a great source of energy, and it is a key-enabler to resolve the significant environmental issues like global warming. However, due to the sudden climatic changes and pollution, the plant ailments are becoming more aggressive within the sustenance of this necessary source by causing more environment losses. Hence, a significant research attention is required to analyze and reduce the plant ailments appropriately. In this perspective, convolutional neural network (CNN) has disclosed an extensive performance in the detection of various plant diseases by analyzing their leaves. This paper proposes a convolutional neural network technique, where the leaf ailment can be analyzed exactly when compared to the traditional disease detection techniques. If the plant ailment is already known, and in such case, the disease severity can be accurately analyzed by using the convolution layer and max-pooling layer proposed in this research work.