Durian Planting Pest Leafhopper Image Dataset
#Image Classification #Object Detection #Smart Agriculture #Crop Monitoring
- 500 records
- 1.6G
- JPG
- CATL
MOBIUSI INC
Updated:2026-04-13
AI Analysis & Value Prop
The dataset is collected with drones and high-definition cameras under various environmental conditions, covering multiple features of leafhopper pests. Quality control includes multiple rounds of expert annotation and consistency checks. The annotation team consists of 20 agricultural plant protection experts. Data preprocessing uses image enhancement techniques and multi-level compressed storage, formatted as JPG.
Dataset Insights
Sample Examples
2fc9bfce**.jpg|1920*2560|385.76 KB
d250e07e**.jpg|1920*2560|368.34 KB
90926533**.jpg|1920*2560|442.10 KB
f68fc6ce**.jpg|1920*2560|540.03 KB
0d83f98d**.jpg|1920*2560|349.17 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| leaf_condition | string | Describes the specific condition of the leaf, whether it is affected by pest damage. |
| insect_presence | boolean | Indicates whether pests are visible in the image. |
| leaf_color | string | Describes the color of the leaf to help assess its health condition. |
| leaf_shape | string | Describes the shape characteristics of the leaf, which can help identify anomalies. |
| spot_presence | boolean | Indicates whether there are spots on the leaf. |
| damage_extent | string | Assesses the extent of damage on the leaf caused by pests. |
| insect_type | string | If pests are identified, records the type of pests present. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 pest information does this dataset primarily contain?
- The dataset primarily contains information related to pest leafhoppers in the durian cultivation process, aiding in pest identification and management.
- How can this dataset be used to identify leafhoppers in durian cultivation?
- By analyzing high-quality images in the dataset, leafhopper pests on durian trees can be effectively identified and monitored.
- Can using this dataset improve durian yield?
- Using this dataset can help identify pests in time, allowing measures to be taken to prevent pest spread, thereby helping to improve durian yield.
- How were the images in the dataset collected?
- The images in the dataset were captured using professional equipment and techniques during durian cultivation, documenting leafhopper activity.
- Who would be interested in this dataset?
- Agricultural researchers, plant protection experts, and durian growers may be interested in this dataset as it provides data support for pest management.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Durian Planting Pest Leafhopper Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/12206e8b6d6cfd902e6f026f869eb748?dataset_scene_cate_type=8},
urldate={2026-02-04},
keywords={durian pest identification, leafhopper image dataset, agricultural pest detection},
version={1.0}
}Using this in research? Please cite us.
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