Home/Agriculture/Farmland Pest Species Recognition Dataset

Farmland Pest Species Recognition Dataset

V1.0
Latest Update:
2026-01-14
Samples:
20000 records
File Size:
3.5G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
Pest Recognition | Agricultural Monitoring | Smart Agriculture
Applications:
Object Detection | Classification Task

Brief Introduction

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.

Sample Examples

ImageFile NameResolutionInsect SpeciesBackground ConditionsLighting Conditions
4b4b34f1a31b9b80dbef074c9bd120c2.png2683*2000aphidnatural vegetation backgroundnatural light, well-lit
45e13221aae353db67f0a81908d0135d.png1475*2000unknownleaves placed on glass or transparent plastic surfaceuniform lighting
27d7e872528eacf095eb475b781324f6.png2679*2000UndeterminedLeaf backgroundNatural light
63ba262e26137282d8cfbad759e1d314.png1535*2000AphidOutdoor plant environmentNatural light
d50e41659f6dae085278cb05ae6b7c6b.png1515*2000UnknownPlant backgroundGood

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
insect_speciesstringThe name of the identified insect species.
background_conditionsstringThe condition of the background environment when the image was taken.
lighting_conditionsstringThe lighting conditions at the time of image capture.

Compliance Statement

ItemContent
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

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