Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311184476> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4311184476 endingPage "246" @default.
- W4311184476 startingPage "239" @default.
- W4311184476 abstract "Agriculture is essential for human life on earth, providing food and income for people. Many diseases attack various fruits and crops. Appletree leaves are also susceptible to a variety of pathological conditions that affect their production which are Mosaic, Frogeye, etc. Whenever an apple crop is damaged by infections that harm apple production and the country's wealth, image processing is recommended for detecting apple leaf diseases. This approach permits an effective distinction between infected and non-infected apple leaves. Frequently, individuals tried to notice those ailments with gazes. Sometimes, people deliver bad decisions because the leaves look identical. In this way, they get false results as well as delays in achieving. They cannot expect the results on time. Moreover, manpower is required to discover these leaf diseases with the eye. Our paper provides the CNN model and an algorithm to detect such diseases in crop leaves. The sample we created was trained to analyze and understand the diseased leaf and then detect the leaf disease. We are using the Inception v3 algorithm." @default.
- W4311184476 created "2022-12-24" @default.
- W4311184476 creator A5007952785 @default.
- W4311184476 creator A5036449521 @default.
- W4311184476 date "2022-12-03" @default.
- W4311184476 modified "2023-09-27" @default.
- W4311184476 title "Apple Leaf Disease Prediction Using Deep Learning Technique" @default.
- W4311184476 cites W2944599236 @default.
- W4311184476 cites W2999419508 @default.
- W4311184476 cites W3005758210 @default.
- W4311184476 cites W3036111160 @default.
- W4311184476 cites W3036949806 @default.
- W4311184476 cites W3081966421 @default.
- W4311184476 cites W3127175491 @default.
- W4311184476 cites W3135860628 @default.
- W4311184476 cites W3157087401 @default.
- W4311184476 cites W3163473558 @default.
- W4311184476 cites W3173478554 @default.
- W4311184476 cites W4210660549 @default.
- W4311184476 doi "https://doi.org/10.1007/978-981-19-6004-8_19" @default.
- W4311184476 hasPublicationYear "2022" @default.
- W4311184476 type Work @default.
- W4311184476 citedByCount "1" @default.
- W4311184476 countsByYear W43111844762023 @default.
- W4311184476 crossrefType "book-chapter" @default.
- W4311184476 hasAuthorship W4311184476A5007952785 @default.
- W4311184476 hasAuthorship W4311184476A5036449521 @default.
- W4311184476 hasConcept C118518473 @default.
- W4311184476 hasConcept C137580998 @default.
- W4311184476 hasConcept C139719470 @default.
- W4311184476 hasConcept C142724271 @default.
- W4311184476 hasConcept C15744967 @default.
- W4311184476 hasConcept C162324750 @default.
- W4311184476 hasConcept C17744445 @default.
- W4311184476 hasConcept C18903297 @default.
- W4311184476 hasConcept C199539241 @default.
- W4311184476 hasConcept C2777363581 @default.
- W4311184476 hasConcept C2778348673 @default.
- W4311184476 hasConcept C2779134260 @default.
- W4311184476 hasConcept C2779913896 @default.
- W4311184476 hasConcept C6557445 @default.
- W4311184476 hasConcept C71924100 @default.
- W4311184476 hasConcept C77805123 @default.
- W4311184476 hasConcept C86803240 @default.
- W4311184476 hasConceptScore W4311184476C118518473 @default.
- W4311184476 hasConceptScore W4311184476C137580998 @default.
- W4311184476 hasConceptScore W4311184476C139719470 @default.
- W4311184476 hasConceptScore W4311184476C142724271 @default.
- W4311184476 hasConceptScore W4311184476C15744967 @default.
- W4311184476 hasConceptScore W4311184476C162324750 @default.
- W4311184476 hasConceptScore W4311184476C17744445 @default.
- W4311184476 hasConceptScore W4311184476C18903297 @default.
- W4311184476 hasConceptScore W4311184476C199539241 @default.
- W4311184476 hasConceptScore W4311184476C2777363581 @default.
- W4311184476 hasConceptScore W4311184476C2778348673 @default.
- W4311184476 hasConceptScore W4311184476C2779134260 @default.
- W4311184476 hasConceptScore W4311184476C2779913896 @default.
- W4311184476 hasConceptScore W4311184476C6557445 @default.
- W4311184476 hasConceptScore W4311184476C71924100 @default.
- W4311184476 hasConceptScore W4311184476C77805123 @default.
- W4311184476 hasConceptScore W4311184476C86803240 @default.
- W4311184476 hasLocation W43111844761 @default.
- W4311184476 hasOpenAccess W4311184476 @default.
- W4311184476 hasPrimaryLocation W43111844761 @default.
- W4311184476 hasRelatedWork W1533856760 @default.
- W4311184476 hasRelatedWork W1534366833 @default.
- W4311184476 hasRelatedWork W1580935061 @default.
- W4311184476 hasRelatedWork W2116135089 @default.
- W4311184476 hasRelatedWork W2598101065 @default.
- W4311184476 hasRelatedWork W2735457390 @default.
- W4311184476 hasRelatedWork W2913206916 @default.
- W4311184476 hasRelatedWork W4229567103 @default.
- W4311184476 hasRelatedWork W854563347 @default.
- W4311184476 hasRelatedWork W2181480609 @default.
- W4311184476 isParatext "false" @default.
- W4311184476 isRetracted "false" @default.
- W4311184476 workType "book-chapter" @default.