Artificial intelligence in plant disease identification: Empowering agriculture

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dc.contributor.authorGarg T.
dc.contributor.authorDwivedi P.
dc.contributor.authorMishra M.K.
dc.contributor.authorJoshi N.C.
dc.contributor.authorShrivastava N.
dc.contributor.authorMishra V.
dc.date.accessioned2025-01-13T07:08:24Z
dc.date.available2025-01-13T07:08:24Z
dc.date.issued2024
dc.description.abstractThe agricultural sector faces numerous challenges, such as infectious diseases, pest invasions, improper soil management, inadequate watering, and more. Among these, plant infectious diseases stand out as a leading cause of damage to crops. These diseases, impacting plants, result from various factors like genetics, soil composition, precipitation, moisture levels, humidity, temperature, and wind. In recent times, there has been a significant increase in the prevalence of plant infectious diseases. Pathogens like viruses, bacteria, and fungi consistently pose threats to plants, leading to substantial global crop yield losses during disease outbreaks. Unfortunately, disease identification and diagnosis typically occur at an advanced stage, causing significant agricultural setbacks. Given the impact of plant diseases on the nutritional value of fruits, vegetables, organic products, and cereals, timely identification is crucial during cultivation. Artificial intelligence (AI) has emerged as a pivotal tool in this context, leveraging its meticulous training capabilities for the effective identification of infectious plant diseases. This chapter illustrates how AI plays a vital role in identifying and diagnosing contagious plant diseases. � 2024 Elsevier Ltd
dc.identifier.doi10.1016/bs.mim.2024.05.007
dc.identifier.isbn978-044329624-6
dc.identifier.issn5809517
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/3190
dc.language.isoen
dc.publisherAcademic Press Inc.
dc.subjectAgriculture
dc.subjectArtificial intelligence
dc.subjectDeep learning
dc.subjectInfectious plant disease detection
dc.subjectMachine learning
dc.titleArtificial intelligence in plant disease identification: Empowering agriculture
dc.typeBook chapter
journal.titleMethods in Microbiology
journalvolume.identifier.volume55

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