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Data · dataset · 2024

Carambola Leaf Disease Dataset

Listed in Teesside University Research Data Repository

This dataset offers 1,274 images of Averrhoa carambola (starfruit) leaves, capturing various conditions to aid machine learning applications in plant health monitoring and disease detection.

Description

Collected from agricultural sites in Bangladesh, it includes seven distinct categories representing typical health challenges faced in starfruit cultivation. #Dataset: Algal Leaf Spot: 324 images Insect Pest: 189 images Leaf Curl Virus: 67 images Iron Deficiency: 189 images Fruits: 18 images Old: 158 images Healthy: 329 images #Purpose: Supports development of AI-based tools for plant disease detection Enables early intervention and sustainable farming practices Provides a resource for researchers in agriculture, plant pathology, and AI.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Image 65%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/jn857kmcnf.118 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[disease].local:disease:diseaseenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
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