Durian Plantation Pest Spider Mite Image Data
#image classification #object detection #pest recognition #pest detection #intelligent agricultural monitoring #crop health management
- 500 records
- 1.3G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In current agricultural production, durian plantations face significant threats and challenges from pest spider mites. Traditional manual detection methods are time-consuming, labor-intensive, and not highly accurate, leading to insufficient and limited pest monitoring and control. This dataset aims to solve the problem of spider mite recognition in durian plantations, meeting the needs for intelligent agricultural monitoring. Data is collected in real time in durian orchards through high-resolution cameras, ensuring consistent shooting angles and lighting conditions. Quality control includes multiple rounds of annotation and expert review, with the annotation team consisting of over 50 members, including agricultural experts and machine learning engineers. Data preprocessing employs image enhancement and denoising techniques. Data is stored in JPG format and organized in a folder structure for classification.
Dataset Insights
Sample Examples
b9a08e93**.jpg|3024*4032|1.45 MB
5bc45898**.jpg|3024*4032|995.23 KB
69400755**.jpg|1920*2560|402.20 KB
fdcd139b**.jpg|1536*2048|224.49 KB
5003b3aa**.jpg|3024*4032|1.37 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_clarity | string | The level of clarity in the image, used to assess the quality of the image. |
| spider_visibility | boolean | The visibility status of red spiders in the image. |
| number_of_spiders | int | The number of visible red spiders in the image. |
| infestation_severity | varchar | Assessment of the severity of infestation in the image, such as mild, moderate, or severe. |
| plant_health_status | varchar | The health status of the plant in the image, such as healthy, sub-healthy, or diseased. |
| leaf_condition | varchar | A description of the condition of the leaves in the image, such as damaged or intact. |
| spider_infestation_area | varchar | The area or part of the plant affected by the red spider infestation. |
| background_clutter | string | The level of clutter in the background of the image, impacting the difficulty of spider detection. |
| natural_lighting | string | The lighting conditions during image capture, such as bright or dim. |
| visual_noise | string | The degree of visual noise in the image that may affect image analysis. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Durian Planting Pest Identification: Red Spider Mite Image Dataset?
- The Durian Planting Pest Identification: Red Spider Mite Image Dataset is an image dataset used for detecting and preventing durian pests, specifically focusing on identifying red spider mites.
- What is the main purpose of this dataset?
- The main purpose of this dataset is to improve pest detection and control efficiency in durian cultivation, especially for identifying red spider mites.
- Who can benefit from the Durian Planting Pest Identification: Red Spider Mite Image Dataset?
- Agricultural professionals, researchers in agriculture, and developers of efficient pest control solutions might benefit from it.
- What problems can be solved using this dataset?
- Using this dataset can enhance the detection capabilities of red spider mites in durian cultivation and help formulate more effective pest control strategies.
- What is the industry background of the Durian Planting Pest Identification: Red Spider Mite Image Dataset?
- The industry background of this dataset is agriculture, forestry, and fisheries, with a specific focus on pest management in durian cultivation.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Durian Plantation Pest Spider Mite Image Data},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/c8a0eea5829b7123236084e9e29028ad?dataset_task_cate_id=2},
urldate={2026-02-04},
keywords={durian pest identification, spider mite detection data, agricultural image dataset},
version={1.0}
}Using this in research? Please cite us.
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