Optimized convolutional neural network for identification of maize leaf diseases with adaptive ageist spider monkey optimization model

In recent years, the number of maize disease species has increased, which obviously increases the level of damages in leaves. The reason for maize leaf disease is due to variations in agriculture systems, the variants of pathogen, and it also occurs due to the scarcity of plant conservation measures...

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Vydané v:	International journal of information technology (Singapore. Online) Ročník 15; číslo 2; s. 877 - 891
Hlavní autori:	Arjunagi, Shravankumar, Patil, Nagaraj B.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 01.02.2023 Springer Nature B.V
Predmet:	Accuracy Agricultural production Algorithms Artificial Intelligence Artificial neural networks Classification Computer Imaging Computer Science Corn Crop diseases Crops Deep learning Feature extraction Identification Image Processing and Computer Vision Leaves Machine Learning Monkeys Optimization Optimization models Original Research Pathogens Pattern Recognition and Graphics Plant diseases Software Engineering Spectrum analysis Vision AOSMO model CNN Performance measures Maize leaf detection 4D-LBP features
ISSN:	2511-2104, 2511-2112
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