Plant Growth Stage Classification Dataset
#image classification #deep learning training #plant growth monitoring #agricultural production management #intelligent agriculture
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The current agricultural industry faces challenges such as inaccurate growth stage monitoring and insufficient data. Traditional manual identification methods are inefficient and prone to errors. Existing solutions largely rely on experiential judgment, lacking scientific data support. This dataset aims to provide high-quality plant growth stage image data through image classification technology to meet the needs of intelligent agricultural management. The dataset contains 5000 images, collected using high-resolution photography equipment in different growth environments to ensure data diversity and representativeness. During data processing, multiple rounds of annotation and consistency checks were implemented to ensure high precision and consistency of the annotations. Data storage is in JPG format, organized according to strict classification standards, facilitating subsequent machine learning and deep learning model training.
Dataset Insights
Sample Examples
cd6cfae3**.jpg|3000*2000|1.43 MB
9f43e52b**.jpg|2000*3000|936.45 KB
2647bde8**.jpg|5350*3567|3.21 MB
95dd5442**.jpg|4000*2000|1.72 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| growth_stage | string | Identify which growth stage the plant in the image is currently in. |
| leaf_color | string | Identify the color of the plant leaves in the image. |
| soil_condition | string | Identify the condition of the soil surrounding the plant in the image. |
| plant_height | float | Estimate the height of the plant in the image. |
| leaf_shape | string | Identify the shape of the plant leaves in the image. |
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 are the application scenarios of the plant growth stage classification dataset?
- The dataset can be used in agriculture for smart monitoring systems, automatic irrigation systems, and plant pest and disease identification, among other applications.
- What is the importance of this dataset in the agricultural field?
- By utilizing this dataset, agricultural producers can more accurately monitor the growth stages of plants, thus optimizing planting strategies and increasing yield.
- How does the plant growth stage classification dataset help promote agricultural intelligence?
- The dataset supports the development of machine learning models by providing detailed images of plant growth stages, enabling the automation and intelligence of agricultural operations.
- What technical skills are needed to use the plant growth stage classification dataset?
- Generally, knowledge in machine learning, image processing, and data analysis is required to effectively use this dataset.
- How does the plant growth stage classification dataset contribute to increasing agricultural yield?
- By using this dataset, precise growth prediction and health monitoring can be achieved, thereby increasing the overall yield of crops.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Plant Growth Stage Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/d63c05c7aa7fed3a5025dd8706f7ed52?dataset_scene_id=5},
urldate={2025-09-15},
keywords={plant growth stage, image classification dataset, agricultural dataset, intelligent agriculture, deep learning},
version={1.0}
}Using this in research? Please cite us.
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