FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4223467621> ?p ?o ?g. }

• W4223467621 endingPage "906" @default.
• W4223467621 startingPage "906" @default.
• W4223467621 abstract "Maize small leaf spot (Bipolaris maydis) is one of the most important diseases of maize. The severity of the disease cannot be accurately identified, the cost of pesticide application increases every year, and the agricultural ecological environment is polluted. Therefore, in order to solve this problem, this study proposes a novel deep learning network DISE-Net. We designed a dilated-inception module instead of the traditional inception module for strengthening the performance of multi-scale feature extraction, then embedded the attention module to learn the importance of interchannel relationships for input features. In addition, a dense connection strategy is used in model building to strengthen channel feature propagation. In this paper, we constructed a data set of maize small leaf spot, including 1268 images of four disease grades and healthy leaves. Comparative experiments show that DISE-Net with a test accuracy of 97.12% outperforms the classical VGG16 (91.11%), ResNet50 (89.77%), InceptionV3 (90.97%), MobileNetv1 (92.51%), MobileNetv2 (92.17%) and DenseNet121 (94.25%). In addition, Grad-Cam network visualization also shows that DISE-Net is able to pay more attention to the key areas in making the decision. The results showed that the DISE-Net was suitable for the classification of maize small leaf spot in the field." @default.
• W4223467621 created "2022-04-15" @default.
• W4223467621 creator A5027899074 @default.
• W4223467621 creator A5030455929 @default.
• W4223467621 creator A5064035828 @default.
• W4223467621 creator A5067982858 @default.
• W4223467621 creator A5073216396 @default.
• W4223467621 creator A5075610312 @default.
• W4223467621 date "2022-04-09" @default.
• W4223467621 modified "2023-10-03" @default.
• W4223467621 title "Maize Small Leaf Spot Classification Based on Improved Deep Convolutional Neural Networks with a Multi-Scale Attention Mechanism" @default.
• W4223467621 cites W1965672345 @default.
• W4223467621 cites W2520364485 @default.
• W4223467621 cites W2548258044 @default.
• W4223467621 cites W2767106145 @default.
• W4223467621 cites W2769042297 @default.
• W4223467621 cites W2969591642 @default.
• W4223467621 cites W2980513214 @default.
• W4223467621 cites W2991310200 @default.
• W4223467621 cites W2999317926 @default.
• W4223467621 cites W3034173830 @default.
• W4223467621 cites W3084116196 @default.
• W4223467621 cites W3084726437 @default.
• W4223467621 cites W3100931193 @default.
• W4223467621 cites W3108454656 @default.
• W4223467621 cites W3135345009 @default.
• W4223467621 cites W3158308652 @default.
• W4223467621 cites W3165142978 @default.
• W4223467621 cites W3182106895 @default.
• W4223467621 cites W3185377372 @default.
• W4223467621 cites W3192504607 @default.
• W4223467621 cites W4214568725 @default.
• W4223467621 doi "https://doi.org/10.3390/agronomy12040906" @default.
• W4223467621 hasPublicationYear "2022" @default.
• W4223467621 type Work @default.
• W4223467621 citedByCount "14" @default.
• W4223467621 countsByYear W42234676212022 @default.
• W4223467621 countsByYear W42234676212023 @default.
• W4223467621 crossrefType "journal-article" @default.
• W4223467621 hasAuthorship W4223467621A5027899074 @default.
• W4223467621 hasAuthorship W4223467621A5030455929 @default.
• W4223467621 hasAuthorship W4223467621A5064035828 @default.
• W4223467621 hasAuthorship W4223467621A5067982858 @default.
• W4223467621 hasAuthorship W4223467621A5073216396 @default.
• W4223467621 hasAuthorship W4223467621A5075610312 @default.
• W4223467621 hasBestOaLocation W42234676211 @default.
• W4223467621 hasConcept C124101348 @default.
• W4223467621 hasConcept C127413603 @default.
• W4223467621 hasConcept C138885662 @default.
• W4223467621 hasConcept C14166107 @default.
• W4223467621 hasConcept C153180895 @default.
• W4223467621 hasConcept C154945302 @default.
• W4223467621 hasConcept C205649164 @default.
• W4223467621 hasConcept C2524010 @default.
• W4223467621 hasConcept C2776401178 @default.
• W4223467621 hasConcept C2778755073 @default.
• W4223467621 hasConcept C2780034373 @default.
• W4223467621 hasConcept C33923547 @default.
• W4223467621 hasConcept C36464697 @default.
• W4223467621 hasConcept C41008148 @default.
• W4223467621 hasConcept C41895202 @default.
• W4223467621 hasConcept C58640448 @default.
• W4223467621 hasConcept C6557445 @default.
• W4223467621 hasConcept C81363708 @default.
• W4223467621 hasConcept C86803240 @default.
• W4223467621 hasConcept C88463610 @default.
• W4223467621 hasConceptScore W4223467621C124101348 @default.
• W4223467621 hasConceptScore W4223467621C127413603 @default.
• W4223467621 hasConceptScore W4223467621C138885662 @default.
• W4223467621 hasConceptScore W4223467621C14166107 @default.
• W4223467621 hasConceptScore W4223467621C153180895 @default.
• W4223467621 hasConceptScore W4223467621C154945302 @default.
• W4223467621 hasConceptScore W4223467621C205649164 @default.
• W4223467621 hasConceptScore W4223467621C2524010 @default.
• W4223467621 hasConceptScore W4223467621C2776401178 @default.
• W4223467621 hasConceptScore W4223467621C2778755073 @default.
• W4223467621 hasConceptScore W4223467621C2780034373 @default.
• W4223467621 hasConceptScore W4223467621C33923547 @default.
• W4223467621 hasConceptScore W4223467621C36464697 @default.
• W4223467621 hasConceptScore W4223467621C41008148 @default.
• W4223467621 hasConceptScore W4223467621C41895202 @default.
• W4223467621 hasConceptScore W4223467621C58640448 @default.
• W4223467621 hasConceptScore W4223467621C6557445 @default.
• W4223467621 hasConceptScore W4223467621C81363708 @default.
• W4223467621 hasConceptScore W4223467621C86803240 @default.
• W4223467621 hasConceptScore W4223467621C88463610 @default.
• W4223467621 hasIssue "4" @default.
• W4223467621 hasLocation W42234676211 @default.
• W4223467621 hasOpenAccess W4223467621 @default.
• W4223467621 hasPrimaryLocation W42234676211 @default.
• W4223467621 hasRelatedWork W2295021132 @default.
• W4223467621 hasRelatedWork W2382607599 @default.
• W4223467621 hasRelatedWork W2546942002 @default.
• W4223467621 hasRelatedWork W2767651786 @default.
• W4223467621 hasRelatedWork W2886673456 @default.
• W4223467621 hasRelatedWork W2912288872 @default.
• W4223467621 hasRelatedWork W2970216048 @default.
• W4223467621 hasRelatedWork W3106036237 @default.

• next