Crop Pest Ecological Impact Dataset
#object detection #ecological impact analysis #pest monitoring #ecological research #agricultural management
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-09-20
AI Analysis & Value Prop
The agricultural sector is currently facing severe threats to crop production due to pests, especially as climate change increases the frequency and variety of pest occurrences, posing significant challenges to crop growth. Existing pest monitoring methods largely rely on manual observation, which is inefficient, prone to errors, and unable to respond timely to pest changes. This dataset aims to provide ecological damage patterns of pests on crop leaves to support AI research, thereby enhancing the intelligence level of agricultural pest monitoring. The dataset contains 5000 images, taken from different farmlands, using high-resolution cameras under natural light to ensure the authenticity and diversity of the data. For data quality control, multiple rounds of annotation and consistency checks are conducted to ensure the accuracy of the annotation results, with final confirmation through expert review. The data storage format is JPEG, organized by image ID.
Dataset Insights
Sample Examples
eb9c9f6c**.png|2683*2000|3.91 MB
303d0202**.png|2752*2000|3.77 MB
88d3857b**.png|1535*2000|2.36 MB
b50e3036**.png|1526*2000|2.76 MB
7cb61298**.png|2679*2000|4.32 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| insect_type | string | The type of insect refers to the species of insect causing damage to the crops. |
| damage_severity | string | Damage severity describes the level of impact the insect has on crop leaves, typically described as mild, moderate, or severe. |
| infected_area | float | Infected area refers to the percentage area of the crop leaf affected by insect damage. |
| leaf_condition | string | Leaf condition is a description of the actual state of the leaves after being affected by insect damage, such as wilted or missing. |
| damage_pattern | string | Damage pattern describes the specific destructive forms caused by insect damage on crop leaves, such as holes or discoloration. |
| leaf_color_variation | string | Leaf color variation refers to changes in the leaf color due to insect damage, such as yellowing or black spots. |
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 is the main use of the Crop Pest Ecological Impact Dataset?
- The dataset is mainly used for analyzing the ecological damage patterns of pests on crop leaves, supporting agricultural ecological research.
- What types of images are included in the dataset?
- The images in the dataset primarily show various conditions of crop leaves damaged by pests.
- How is this dataset utilized for agricultural research?
- Researchers can use this dataset to train machine learning models for pest detection and classification, aiding in the development of agricultural control strategies.
- What type of machine learning task does this dataset support?
- This dataset supports object detection machine learning tasks, specifically detecting and identifying pests on crop leaves.
- What are the potential research outcomes of using this dataset?
- Research using this dataset can improve the accuracy of pest detection, optimize crop pest management strategies, and promote ecological protection.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Crop Pest Ecological Impact Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/371957671a23c904afc571d7394a1dd9?dataset_scene_id=5},
urldate={2025-09-15},
keywords={crop pests, ecological impact dataset, object detection, agricultural pest monitoring},
version={1.0}
}Using this in research? Please cite us.
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