Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210364567> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4210364567 abstract "Abstract In recent years, many countries prolonged their research in the field of agricultural farming for yielding more quantity food products with good quality. Agricultural farming is closely related to every country's economy in significant way. To improve the grain productivity in a notable way, plants must be protected from various viral, fungal, and bacterial diseases. The timely identification of plant disease helps to protect the plant at the early stage of the disease else it will spoil the entire plant. In this article, the plant disease identification problem is handled using our novel proposed network where it combines dilated convolution with residual dense block (DCRDB) along with multi‐level feature detection (MLFD) for selecting the appropriate feature and bidirectional long short‐term memory (Bi‐LSTM) classifier for leaf disease prediction. In DCRDB, the dilated convolution derives larger receptive field without loss of resolution to extract greater number of local features from the leaf images and residual dense block expands the size of feature map by densely connecting the layers of convolution. In addition, MLFD network integrates the high‐level features with the resulted features of DCRDB. After feature extraction, Bi‐LSTM is employed to recognize the leaf disease which supports additional training in both forward and backward direction. Through a set of collected cassava leaf images our research carries forward. The proposed model accuracy is verified with three different datasets such as cassava disease classification dataset, self‐made cassava disease dataset and plant village dataset. The performance of the proposed model is compared with some existing methods. Experimental results show that the highest F1‐score value of 95.49% attained by our proposed model for identifying cassava leaf disease." @default.
- W4210364567 created "2022-02-08" @default.
- W4210364567 creator A5011028274 @default.
- W4210364567 creator A5012775957 @default.
- W4210364567 creator A5061922070 @default.
- W4210364567 date "2022-02-04" @default.
- W4210364567 modified "2023-10-03" @default.
- W4210364567 title "Integration of dilated convolution with residual dense block network and multi‐level feature detection network for cassava plant leaf disease identification" @default.
- W4210364567 cites W2024117014 @default.
- W4210364567 cites W2613227812 @default.
- W4210364567 cites W2786538427 @default.
- W4210364567 cites W2792879751 @default.
- W4210364567 cites W2805772477 @default.
- W4210364567 cites W2913246999 @default.
- W4210364567 cites W2927613875 @default.
- W4210364567 cites W2943036395 @default.
- W4210364567 cites W2969896545 @default.
- W4210364567 cites W3010655531 @default.
- W4210364567 cites W3013475455 @default.
- W4210364567 cites W3016522735 @default.
- W4210364567 cites W3028911511 @default.
- W4210364567 cites W3029816221 @default.
- W4210364567 cites W3034651751 @default.
- W4210364567 cites W3035982802 @default.
- W4210364567 cites W3044593388 @default.
- W4210364567 cites W3088186260 @default.
- W4210364567 cites W3103494612 @default.
- W4210364567 cites W3108944572 @default.
- W4210364567 cites W3109224671 @default.
- W4210364567 cites W3113371535 @default.
- W4210364567 cites W3122502958 @default.
- W4210364567 cites W3125974156 @default.
- W4210364567 cites W3132328762 @default.
- W4210364567 cites W3135345009 @default.
- W4210364567 cites W3167324598 @default.
- W4210364567 cites W3176974604 @default.
- W4210364567 doi "https://doi.org/10.1002/cpe.6879" @default.
- W4210364567 hasPublicationYear "2022" @default.
- W4210364567 type Work @default.
- W4210364567 citedByCount "3" @default.
- W4210364567 countsByYear W42103645672023 @default.
- W4210364567 crossrefType "journal-article" @default.
- W4210364567 hasAuthorship W4210364567A5011028274 @default.
- W4210364567 hasAuthorship W4210364567A5012775957 @default.
- W4210364567 hasAuthorship W4210364567A5061922070 @default.
- W4210364567 hasConcept C11413529 @default.
- W4210364567 hasConcept C116834253 @default.
- W4210364567 hasConcept C138885662 @default.
- W4210364567 hasConcept C153180895 @default.
- W4210364567 hasConcept C154945302 @default.
- W4210364567 hasConcept C155512373 @default.
- W4210364567 hasConcept C2524010 @default.
- W4210364567 hasConcept C2776401178 @default.
- W4210364567 hasConcept C2777210771 @default.
- W4210364567 hasConcept C33923547 @default.
- W4210364567 hasConcept C41008148 @default.
- W4210364567 hasConcept C41895202 @default.
- W4210364567 hasConcept C45347329 @default.
- W4210364567 hasConcept C50644808 @default.
- W4210364567 hasConcept C52622490 @default.
- W4210364567 hasConcept C59822182 @default.
- W4210364567 hasConcept C86803240 @default.
- W4210364567 hasConcept C95623464 @default.
- W4210364567 hasConceptScore W4210364567C11413529 @default.
- W4210364567 hasConceptScore W4210364567C116834253 @default.
- W4210364567 hasConceptScore W4210364567C138885662 @default.
- W4210364567 hasConceptScore W4210364567C153180895 @default.
- W4210364567 hasConceptScore W4210364567C154945302 @default.
- W4210364567 hasConceptScore W4210364567C155512373 @default.
- W4210364567 hasConceptScore W4210364567C2524010 @default.
- W4210364567 hasConceptScore W4210364567C2776401178 @default.
- W4210364567 hasConceptScore W4210364567C2777210771 @default.
- W4210364567 hasConceptScore W4210364567C33923547 @default.
- W4210364567 hasConceptScore W4210364567C41008148 @default.
- W4210364567 hasConceptScore W4210364567C41895202 @default.
- W4210364567 hasConceptScore W4210364567C45347329 @default.
- W4210364567 hasConceptScore W4210364567C50644808 @default.
- W4210364567 hasConceptScore W4210364567C52622490 @default.
- W4210364567 hasConceptScore W4210364567C59822182 @default.
- W4210364567 hasConceptScore W4210364567C86803240 @default.
- W4210364567 hasConceptScore W4210364567C95623464 @default.
- W4210364567 hasIssue "11" @default.
- W4210364567 hasLocation W42103645671 @default.
- W4210364567 hasOpenAccess W4210364567 @default.
- W4210364567 hasPrimaryLocation W42103645671 @default.
- W4210364567 hasRelatedWork W1964120219 @default.
- W4210364567 hasRelatedWork W2000165426 @default.
- W4210364567 hasRelatedWork W2144059113 @default.
- W4210364567 hasRelatedWork W2146076056 @default.
- W4210364567 hasRelatedWork W2546942002 @default.
- W4210364567 hasRelatedWork W2563096758 @default.
- W4210364567 hasRelatedWork W2811390910 @default.
- W4210364567 hasRelatedWork W3003836766 @default.
- W4210364567 hasRelatedWork W3044388927 @default.
- W4210364567 hasRelatedWork W4323356875 @default.
- W4210364567 hasVolume "34" @default.
- W4210364567 isParatext "false" @default.
- W4210364567 isRetracted "false" @default.
- W4210364567 workType "article" @default.