Papaya Growth Stage Recognition Dataset
#Target Detection #Image Classification #Precision Agriculture #Crop Management #Growth Monitoring
- Records
- 10000 records
- Size
- 2.1G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
The current agriculture industry faces challenges such as inaccurate crop growth monitoring and low management efficiency. Traditional methods rely on manual observation, which can easily lead to errors and omissions. Existing solutions often lack specificity and immediacy, failing to meet the needs of modern precision agriculture. This dataset aims to assist AI models in recognizing crop status by providing comprehensive images of papaya growth stages, thus enhancing the intelligence level of agricultural management. The dataset is built on high-quality image acquisition using professional photographic equipment in natural growing environments. We implemented strict quality control, including multiple rounds of annotation, consistency checks, and expert reviews to ensure data accuracy and reliability. The data is stored in JPEG format, with a clear structure for further analysis and application.
Overview
Dataset Insights
Preview
Sample Examples
4ae438c4**.jpg|3024*4032|3.06 MB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| growth_stage | string | The current growth stage of the papaya plant, such as seedling phase, growing phase, fruiting phase, etc. |
| leaf_count | int | The number of leaves of the papaya plant identifiable in the image. |
| fruit_count | int | The number of papaya fruits visible in the image. |
| flower_count | int | The number of flowers on the papaya plant visible in the image. |
| leaf_health | string | The health condition of the leaves, such as healthy, yellowing, or spots. |
| fruit_size | string | The relative size of the papaya fruit as seen in the image. |
| plant_height | float | The height of the papaya plant assessable from the image, measured in meters. |
| stem_thickness | float | The thickness of the papaya plant stem, assessable from the image, measured in centimeters. |
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 specific stages of images are included in the Papaya Growth Stage Recognition Dataset?
- The dataset includes images of various growth stages from papaya seedling stage to mature fruit bearing stage.
- How does this dataset aid precision agriculture management?
- By recognizing papaya growth stages, the dataset provides data support for precision agriculture, enhancing resource use efficiency and yield.
- What are the application scenarios of the Papaya Growth Stage Recognition Dataset?
- The dataset can be used in crop monitoring systems, agricultural robots, and automated farm management systems to support precision farming.
- What is the image format of this object detection dataset?
- Images are usually in JPEG or PNG format, depending on the dataset provider's specific setup.
- How can this dataset improve the performance of AI models for crop growth monitoring?
- By training AI models to recognize different growth stages, it enhances the model's accuracy and responsiveness in predicting crop status.
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Cite this Work
@dataset{Mobiusi2025,
title={Papaya Growth Stage Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/d5d7bb720aa4677a55d7187212b773a1?dataset_scene_id=5},
urldate={2025-09-15},
keywords={Papaya Growth Stage, Target Detection Dataset, Precision Agriculture, Crop Monitoring},
version={1.0}
}Using this in research? Please cite us.
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