Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments

The early detection and prevention of plant diseases that are an important cause of famine and food insecurity worldwide are very important for increasing agricultural product productivity. Not only the early detection of the plant disease but also the determination of its type play a critical role...

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Bibliographic Details
Published in:	Biology (Basel, Switzerland) Vol. 11; no. 12; p. 1732
Main Authors:	Yağ, İlayda, Altan, Aytaç
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 29.11.2022 MDPI
Subjects:	2D discrete wavelet transform 2D signal processing agricultural plant apples Artificial intelligence Classification Computer applications data collection Deep learning famine flower pollination optimization Flowers & plants foliar diseases Food security grapes Learning algorithms Leaves Neural networks Plant diseases plant leaf disease classification Pollination support vector machines tomatoes unmanned aerial vehicles wavelet plant leaf disease classification 2D discrete wavelet transform 2D signal processing real-time detection flower pollination optimization agricultural plant artificial intelligence
ISSN:	2079-7737, 2079-7737
Online Access:	Get full text
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