A Perspective View of Cotton Leaf Image Classification Using Machine Learning Algorithms Using WEKA

Cotton is one of the major crops in India, where 23% of cotton gets exported to other countries. The cotton yield depends on crop growth, and it gets affected by diseases. In this paper, cotton disease classification is performed using different machine learning algorithms. For this research, the co...

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Veröffentlicht in:	Advances in human-computer interaction Jg. 2021; S. 1 - 15
Hauptverfasser:	Patil, Bhagya M., Burkpalli, Vishwanath
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Hindawi 2021 John Wiley & Sons, Inc Wiley
Schlagworte:	Accuracy Agricultural production Algorithms Analysis Bayesian analysis Classification Classifiers Color Corn Correlation coefficient Correlation coefficients Cotton Cotton industry Crop diseases Crop growth Crop yield Crop yields Data mining Datasets Decision trees Experimentation Feature extraction Image classification Image segmentation Learning algorithms Leaves Machine learning Medical imaging Multilayer perceptrons Neural networks Optimization algorithms Performance evaluation Plant diseases Skin cancer Support vector machines Texture Germany India
ISSN:	1687-5893, 1687-5907
Online-Zugang:	Volltext
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