Farmland Pest Species Recognition Dataset
#Object Detection #Classification Task #Pest Recognition #Agricultural Monitoring #Smart Agriculture
- 20000 records
- 3.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The current agricultural industry is facing the serious issue of pest invasions. Traditional identification methods often rely on manual observation, which is inefficient and prone to errors. Existing solutions lack sufficient sample data, leading to poor model training effectiveness. This dataset aims to provide abundant farmland pest samples to help AI systems improve their ability to identify pest species. The dataset includes various common farmland pests and their leaf feeding traces, facilitating object detection and classification tasks. Data collection is conducted using high-resolution cameras in natural light environments to ensure image clarity. In terms of quality control, multiple rounds of annotation and expert reviews are conducted to ensure annotation consistency and accuracy. Data is stored in JPEG format and organized by image ID for efficient retrieval and use.
Dataset Insights
Sample Examples
4b4b34f1**.png|2683*2000|3.91 MB
45e13221**.png|1475*2000|3.23 MB
27d7e872**.png|2679*2000|3.65 MB
63ba262e**.png|1535*2000|2.36 MB
d50e4165**.png|1515*2000|3.13 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| insect_species | string | The name of the identified insect species. |
| background_conditions | string | The condition of the background environment when the image was taken. |
| lighting_conditions | string | The lighting conditions at the time of image capture. |
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 agricultural applications can this dataset be used for?
- This dataset can be used for farmland pest monitoring, agricultural pest control, and pest automatic identification in agricultural production management.
- How many types of pest image samples are included in this dataset?
- The dataset includes image samples of various common farmland pests; the exact number of types should be checked in the detailed dataset information.
- What information does the annotation of this dataset include?
- The annotation includes the type, location, and other relevant bounding box information of the pests.
- How can this dataset improve farmland management efficiency?
- By using this dataset to train vision models, automatic pest detection and classification can be achieved, increasing the precision and efficiency of farmland management.
- What machine learning tasks is this dataset suitable for?
- This dataset is suitable for object detection related machine learning tasks, especially for pest identification in agricultural environments.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Farmland Pest Species Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/82132c108e2a86e67790b386cedeab8d},
urldate={2025-09-15},
keywords={Farmland Pest Recognition, Object Detection Dataset, Agricultural Dataset, AI Pest Recognition},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder