Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383744886> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4383744886 abstract "The disease known as wheat stripe rust poses a huge risk to wheat production all over the world, resulting in considerable yield losses as well as economic harm. The proper management of the illness and the prevention of crop losses both need a diagnosis that is both accurate and made as early as possible. Using a dataset of 15,000 pictures, we created a multi-layer perceptron (MLP) model to classify wheat stripe rust disease based on six distinct intensity levels. The technique that was suggested included steps for preprocessing the data, training the model, validating the model, and evaluating the performance of the model. On the test set, the MLP model achieved an overall accuracy of 96.24%, indicating that it is a trustworthy and effective method for the automated diagnosis of wheat stripe rust disease. The accuracy, recall, and F1 score for each class revealed that the model was effective in properly diagnosing the various severity levels of wheat stripe rust disease. These metrics were calculated for each class. The assessment of our method’s correctness was judged to be superior to that of other contemporary models by comparing it to those found in the relevant body of research. Our research makes a contribution to the development of systems for accurately and automatically diagnosing plant diseases. These systems can assist to boost agricultural output and assure food security. The technique that was presented can be applied to a variety of different plant diseases, which might result in the creation of plant disease detection systems that are more precise and effective." @default.
- W4383744886 created "2023-07-11" @default.
- W4383744886 creator A5000952570 @default.
- W4383744886 creator A5024147005 @default.
- W4383744886 creator A5063365839 @default.
- W4383744886 date "2023-05-26" @default.
- W4383744886 modified "2023-09-23" @default.
- W4383744886 title "Enhancing Wheat Crop Resilience: An Efficient Deep Learning Framework for the Detection and Classification of Rust Disease" @default.
- W4383744886 cites W3084116196 @default.
- W4383744886 cites W3151070116 @default.
- W4383744886 cites W3207126641 @default.
- W4383744886 cites W4205236264 @default.
- W4383744886 cites W4225316118 @default.
- W4383744886 cites W4289205500 @default.
- W4383744886 cites W4296819095 @default.
- W4383744886 cites W4310241727 @default.
- W4383744886 cites W4312386072 @default.
- W4383744886 cites W4316466202 @default.
- W4383744886 cites W4318570691 @default.
- W4383744886 cites W4320736771 @default.
- W4383744886 cites W4323644159 @default.
- W4383744886 doi "https://doi.org/10.1109/incet57972.2023.10170566" @default.
- W4383744886 hasPublicationYear "2023" @default.
- W4383744886 type Work @default.
- W4383744886 citedByCount "0" @default.
- W4383744886 crossrefType "proceedings-article" @default.
- W4383744886 hasAuthorship W4383744886A5000952570 @default.
- W4383744886 hasAuthorship W4383744886A5024147005 @default.
- W4383744886 hasAuthorship W4383744886A5063365839 @default.
- W4383744886 hasConcept C104317684 @default.
- W4383744886 hasConcept C11413529 @default.
- W4383744886 hasConcept C119857082 @default.
- W4383744886 hasConcept C124101348 @default.
- W4383744886 hasConcept C127413603 @default.
- W4383744886 hasConcept C148524875 @default.
- W4383744886 hasConcept C150903083 @default.
- W4383744886 hasConcept C153180895 @default.
- W4383744886 hasConcept C154945302 @default.
- W4383744886 hasConcept C177264268 @default.
- W4383744886 hasConcept C185592680 @default.
- W4383744886 hasConcept C197781089 @default.
- W4383744886 hasConcept C199360897 @default.
- W4383744886 hasConcept C2994440102 @default.
- W4383744886 hasConcept C3019235130 @default.
- W4383744886 hasConcept C34736171 @default.
- W4383744886 hasConcept C41008148 @default.
- W4383744886 hasConcept C55439883 @default.
- W4383744886 hasConcept C55493867 @default.
- W4383744886 hasConcept C86803240 @default.
- W4383744886 hasConcept C88463610 @default.
- W4383744886 hasConcept C93678976 @default.
- W4383744886 hasConceptScore W4383744886C104317684 @default.
- W4383744886 hasConceptScore W4383744886C11413529 @default.
- W4383744886 hasConceptScore W4383744886C119857082 @default.
- W4383744886 hasConceptScore W4383744886C124101348 @default.
- W4383744886 hasConceptScore W4383744886C127413603 @default.
- W4383744886 hasConceptScore W4383744886C148524875 @default.
- W4383744886 hasConceptScore W4383744886C150903083 @default.
- W4383744886 hasConceptScore W4383744886C153180895 @default.
- W4383744886 hasConceptScore W4383744886C154945302 @default.
- W4383744886 hasConceptScore W4383744886C177264268 @default.
- W4383744886 hasConceptScore W4383744886C185592680 @default.
- W4383744886 hasConceptScore W4383744886C197781089 @default.
- W4383744886 hasConceptScore W4383744886C199360897 @default.
- W4383744886 hasConceptScore W4383744886C2994440102 @default.
- W4383744886 hasConceptScore W4383744886C3019235130 @default.
- W4383744886 hasConceptScore W4383744886C34736171 @default.
- W4383744886 hasConceptScore W4383744886C41008148 @default.
- W4383744886 hasConceptScore W4383744886C55439883 @default.
- W4383744886 hasConceptScore W4383744886C55493867 @default.
- W4383744886 hasConceptScore W4383744886C86803240 @default.
- W4383744886 hasConceptScore W4383744886C88463610 @default.
- W4383744886 hasConceptScore W4383744886C93678976 @default.
- W4383744886 hasLocation W43837448861 @default.
- W4383744886 hasOpenAccess W4383744886 @default.
- W4383744886 hasPrimaryLocation W43837448861 @default.
- W4383744886 hasRelatedWork W2066259560 @default.
- W4383744886 hasRelatedWork W2126100045 @default.
- W4383744886 hasRelatedWork W2262783296 @default.
- W4383744886 hasRelatedWork W2380927352 @default.
- W4383744886 hasRelatedWork W2383487638 @default.
- W4383744886 hasRelatedWork W2391959412 @default.
- W4383744886 hasRelatedWork W2728578317 @default.
- W4383744886 hasRelatedWork W3003836766 @default.
- W4383744886 hasRelatedWork W3129710645 @default.
- W4383744886 hasRelatedWork W4327738674 @default.
- W4383744886 isParatext "false" @default.
- W4383744886 isRetracted "false" @default.
- W4383744886 workType "article" @default.