Durian Plantation Disease Identification Leaf Spot Disease Image Dataset

#Image Classification #Object Detection #Disease Identification #Plant Disease Detection #Crop Health Monitoring #Smart Agriculture Management
  • 500 records
  • 1.3G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The core advantage of this dataset is its data quality, achieving a high annotation accuracy of 98%, ensuring the integrity and consistency of each sample. Technological innovation is reflected through the adoption of the latest image preprocessing algorithms to enhance model training effectiveness, and the introduction of reinforcement learning methods to extend data application scope. The application value is significant, capable of increasing disease identification accuracy by over 30%, effectively supporting farmers in achieving refined management. Compared to other traditional datasets, this dataset offers higher image resolution and more plant variety information, increasing its applicability and value. Additionally, the dataset is highly scalable and can be easily applied to other crop disease identification tasks, with broad versatility and application potential.

Dataset Insights

Sample Examples

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e06568ae**.jpg|3024*4032|834.03 KB

f362fa68**.jpg|3024*4032|1.13 MB

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
leaf_colorstringDescribe the color of the leaf, including green, yellow, brown, etc.
spot_countintThe number of visible spots on the leaf surface.
spot_sizestringThe size of spots on the leaf, such as small, medium, large.
spot_colorstringDescribe the color of the spots, including black, brown, yellow, etc.
leaf_shapestringDescribe the shape of the leaf, such as long oval, ovate, etc.
disease_severitystringThe severity of the disease, such as mild, moderate, severe.
leaf_texturestringDescribe the texture of the leaf, such as smooth, rough.
infection_areastringThe area ratio of infection on the leaf surface, typically as a percentage.
leaf_venationstringThe venation structure of the leaf, such as reticulate, parallel.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

How many images are included in this dataset?
This dataset includes a large number of images related to durian leaf spot disease for effective plant disease recognition.
How to use this dataset to improve the accuracy of plant disease recognition?
By analyzing and training on images of durian leaf spot disease, researchers and farmers can better recognize and manage disease issues.
What application scenarios is this dataset suitable for?
This dataset is suitable for various fields like agricultural research, disease management, and smart agriculture applications.
What is leaf spot disease and why is it important for durian cultivation?
Leaf spot disease is a common plant disease that affects the health of durian leaves, impacting growth and yield, making its identification and management crucial.
Where can I find more information related to durian diseases?
Related agricultural research papers, guidelines from plant protection agencies, and specialized agricultural websites are good resources for durian disease information.

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Cite this Work

@dataset{Mobiusi2026,
  title={Durian Plantation Disease Identification Leaf Spot Disease Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/fd9f7d9b98e669ddd32fb9d8bd6429c0},
  urldate={2026-02-04},
  keywords={Durian Leaf Spot Detection, Plant Disease Identification Dataset, Smart Agriculture Image Data},
  version={1.0}
}

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