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Paddy Leaf Disease Detection Using Image Processing and Machine Learning
Dr. Neha Mangla, Priyanka B Raj, Soumya G Hegde, Pooja R
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Abstract: The spread of plant pests and diseases has increased dramatically in recent years. Globalization, trade and climate change, as well as reduced resilience in production systems due to decades of agricultural intensification, have all played a part. Plant pathogens can be fungal, bacterial, viral or nematodes and can damage plant parts above or below the ground. Identifying symptoms and knowing when and how to effectively control diseases is crucial. In this paper, we propose the idea of leaf detection using leaf images.
Keywords: Leaf disease detection, Image Processing, Image Segmentation, Machine Learning, Feature Extraction
Keywords: Leaf disease detection, Image Processing, Image Segmentation, Machine Learning, Feature Extraction
How to Cite:
[1] Dr. Neha Mangla, Priyanka B Raj, Soumya G Hegde, Pooja R, “Paddy Leaf Disease Detection Using Image Processing and Machine Learning,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2019.7220
