R. P. Karthik published a dataset summarizing UAV-based mango leaf disease data on figshare in May 2026. The dataset is 5.5 KB in size and is available in XLS format under a CC-BY-4.0 license. The row count and column-level details are unknown.
Use Cases
- Train machine learning models for mango leaf disease classification based on UAV imagery.
- Analyze the effectiveness of UAV platforms for agricultural disease monitoring.
- Benchmark computer vision algorithms for detecting plant diseases in aerial images.
Strengths
- The dataset is openly available under a CC-BY-4.0 license.
- It is hosted on figshare, a recognized data repository.
Limitations
- The dataset is very small (5.5 KB), indicating limited scope.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- figshare
- Freshness
- Last updated 2026-05-28 17:45:34; freshness should be verified.