Artificial Winnowing Scene Classification Dataset

#classification task #image recognition #model training #agricultural monitoring #crop identification #precision agriculture

20000 records
3.5G
JPG/PNG/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-03-13

AI Analysis & Value Prop

The current agricultural industry faces challenges of low efficiency in crop identification and monitoring. Traditional manual monitoring methods are not only time-consuming but also prone to errors, failing to meet the needs of modern agriculture. Existing solutions often rely on low-quality image data, leading to low classification accuracy. To address these issues, this dataset aims to provide high-quality winnowing scene images to support automated crop identification and monitoring tasks. Data collection is carried out using drones in various farmland environments to ensure coverage of multiple growth states and weather conditions. Each image undergoes multiple rounds of annotation and expert review to ensure consistency and accuracy of labeling. Data is stored in JPG format, organized by image ID for quick access and processing.

Dataset Insights

Sample Examples

4193ddda**.jpg|5809*3964|3.80 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
scene_type	string	The category of grain drying scene in the image, such as rice harvesting or drying yard.
crop_type	string	The type of crop appearing in the image, such as wheat, barley, or corn.
season	string	The season during which the image was captured, such as spring, summer, autumn, or winter.
weather_condition	string	The weather conditions at the time the image was taken, such as sunny, cloudy, or rainy.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
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 Artificial Winnowing Scene Classification Dataset?: The Artificial Winnowing Scene Classification Dataset is an image classification dataset focused on the agricultural sector, containing high-quality images of winnowing scenes for crop identification and monitoring.

Which industries can benefit from the Winnowing Scene Classification Dataset?: The agricultural industry can particularly benefit from the Winnowing Scene Classification Dataset as it provides high-quality images necessary for crop identification and monitoring.

What is the main use of the Winnowing Scene Classification Dataset?: The main use of the Winnowing Scene Classification Dataset is to support crop identification and monitoring in the agricultural field by providing high-quality images.

How does the dataset support crop monitoring?: The dataset supports crop monitoring by providing accurately classified images of winnowing scenes, enabling agricultural practitioners to better identify and monitor crop growth and changes.

What technical applications is the Artificial Winnowing Scene Classification Dataset suitable for?: The dataset is suitable for machine learning and artificial intelligence applications, particularly those involving image classification tasks in the agricultural sector.

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Cite this Work

@dataset{Mobiusi2025,
  title={Artificial Winnowing Scene Classification Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/8fe2f62108f7f887166fce1d59896c48},
  urldate={2025-09-15},
  keywords={agricultural dataset, image classification, crop identification, precision agriculture, artificial winnowing},
  version={1.0}
}

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