ArticleData in brief2024
Empowering agricultural research: A comprehensive custard apple (
Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A Review of Nutrition, Bioactivities, and Health Benefits of Custard Apple (Foods (Basel, Switzerland) · 2025Review
- Tamarind health assessment dataset: Images of shelled, unshelled, and mixed tamarind pods.Data in brief · 2025Article
- JujubeBruiseNet: A high-resolution image dataset for bruise detection inData in brief · 2025Article
- A comprehensive hog plum leaf disease dataset for enhanced detection and classification.Data in brief · 2025Article
- Towards precision agriculture: A dataset for early detection of corn leaf pests.Data in brief · 2025Article
- Exploring the natural pothole dataset generated by the abrasion and cavitation effects of river water on rocks.Data in brief · 2024Article
- Facilitating spice recognition and classification: An image dataset of Indian spices.Data in brief · 2024Article
- A comprehensive dataset of eight Thai cannabis classes for botanical exploration.Data in brief · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Custard Apple, known as sugar apple or sweetsop, spans diverse regions like India, Portugal, Thailand, Cuba, and the West Indies. This dataset holds 8226 images of Custard Apple (Annona squamosa) fruit and leaf diseases, categorized into six types: Athracnose, Blank Canker, Diplodia Rot, Leaf Spot on fruit, Leaf Spot on leaf, and Mealy Bug. It's a key resource for refining machine learning algorithms focused on detecting and classifying diseases in Custard Apple plants. Utilizing methods like deep learning, feature extraction, and pattern recognition, this dataset sharpens automated disease identification precision. Its extensive range suits testing and training disease identification techniques. Public access fosters collaboration, fast-tracking plant pathology advancements and supporting Custard Apple plant sustainability. This dataset fosters collaborative efforts, aiding disease prevention techniques to boost Custard Apple yield and refine farming. It enhances disease identification, monitoring, and management in Custard Apple production, aiming to elevate agricultural practices and crop yields.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.