Grape Pseudocercospora Leaf Specked Area Estimation Using Hybrid Genetic Algorithm and Recurrent Neural Network

Grapes are prone to Pseudocercospora vitis fungus which causes Isariopsis leaf speck disease to the crop’s leaves, flower, and most importantly the fruit. Typical manual inspection of vineyard farmers is normally ineffective, destructive, and laborious. To address this, the use of integrated compute...

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Vydané v:	Journal of advanced computational intelligence and intelligent informatics Ročník 27; číslo 1; s. 35 - 43
Hlavní autori:	Alajas, Oliver John Y., Concepcion II, Ronnie S., Palconit, Maria Gemel B., Bandala, Argel A., Sybingco, Edwin, Vicerra, Ryan Rhay P., Dadios, Elmer P., Mendigoria, Christan Hail R., Aquino, Heinrick L., Izzo, Luigi Gennaro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Tokyo Fuji Technology Press Co. Ltd 01.01.2023
Predmet:	Artificial intelligence Computer vision Discriminant analysis Feature extraction Fungi Gaussian process Genetic algorithms Grapes Inspection Machine learning Neural networks Optimization Recurrent neural networks Regression analysis Regression models Support vector machines
ISSN:	1343-0130, 1883-8014
On-line prístup:	Získať plný text
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