Durian Plantation Pest Identification: Scale Insect Image Data
#image classification #object detection #pest identification #intelligent agriculture #pest monitoring #plant protection
- Records
- 500 records
- Size
- 1.5G
- Format
- JPG
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
Durian is a tropical fruit that faces pest invasions during cultivation, particularly scale insects which cause significant damage. Currently, many farms rely on manual pest identification, which is time-consuming and less accurate. Existing automatic identification systems are often constrained by data set inadequacies and accuracy bottlenecks. This dataset aims to solve the automatic identification issue of scale insects to improve durian plantation yield and quality. The dataset is captured with high-resolution cameras in durian plantations, covering different weather and light conditions. Through multiple rounds of manual annotation and consistency checks, the precision of annotations is ensured. The annotation team comprises plant pathology experts and data processing professionals at a moderate scale. Data preprocessing includes image clarity adjustment, noise filtering, and target framing steps, stored in JPG format with a good organizational structure.
Overview
Dataset Insights
Preview
Sample Examples
4e7930b7**.jpg|3024*4032|1.25 MB
8e7b0ac4**.jpg|3024*4032|1.37 MB
308fa39a**.jpg|3024*4032|1.61 MB
4f150523**.jpg|3024*4032|1.59 MB
1630c1e3**.jpg|3024*4032|1.34 MB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| pest_count | integer | The number of scale insects present in the image. |
| pest_distribution | string | Distribution pattern of scale insects in the image, such as uniform or clustered distribution. |
| infection_severity | string | The severity of the infection assessed based on the pest count and distribution, such as mild, moderate, or severe. |
| durian_part_affected | string | The part of the durian plant affected by pests as shown in the image, such as leaves, fruit, or trunk. |
| background_condition | string | The environmental condition of the image background, such as sunny, cloudy, grassy, or soil ground. |
| image_quality | string | The quality assessment of the image, such as high, medium, or low. |
| lighting_condition | string | The lighting conditions during image capture, such as natural light, artificial light, well-lit, or dim. |
Trust
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
FAQ
Frequently Asked Questions
- What is the durian cultivation pest scale insect image dataset?
- The durian cultivation pest scale insect image dataset is an image dataset designed to help identify and manage scale insect pests in durian cultivation, promoting precision agriculture pest management.
- How does this dataset aid in precision agriculture pest management?
- This dataset aids precision agriculture pest management by providing a large number of scale insect image samples, enabling agricultural practitioners and researchers to develop and optimize pest identification models for more accurate identification and management of scale insects in durian cultivation.
- What impact do scale insects have on durian cultivation?
- Scale insects can sap nutrients from durian plants, causing stunted growth and reduced fruit quality; in severe cases, they may also lead to plant death.
- What research or applications is this dataset suitable for?
- This dataset is suitable for developing pest identification models in the agricultural field, training machine learning algorithms, and researching and applying precision agriculture management systems.
- How can this dataset be used to improve pest management in durian cultivation?
- By using this dataset to train pest identification models, scale insect pests can be detected earlier, allowing for timely and appropriate control measures, thereby improving the overall health and yield of durian cultivation.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
Cite this Work
@dataset{Mobiusi2026,
title={Durian Plantation Pest Identification: Scale Insect Image Data},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/e705d3e359f496df82e8afcb5b4644b8?dataset_task_cate_id=2},
urldate={2026-02-04},
keywords={durian plantation, pest identification, scale insect detection, intelligent agriculture dataset},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder