Farmer Picking Action Recognition Dataset
#Object Detection #Action Recognition #Agricultural Robots #Smart Agriculture #Action Recognition
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-12
AI Analysis & Value Prop
The current agricultural sector faces challenges of labor shortages and low production efficiency, especially in the crop picking process. Manual picking is not only time-consuming but also prone to errors. Existing automated solutions are often limited by factors such as environmental changes and action recognition accuracy. To address these issues, this dataset focuses on recognizing different actions of farmers during the picking process, aiming to provide precise action recognition data support for agricultural robots. The dataset is collected using high-resolution cameras in real agricultural environments, ensuring adaptability to real-scene data. Moreover, we ensure consistency and accuracy in labeling through multiple rounds of annotation and expert-reviewed quality control processes. The data is stored in JPEG format, organized into a structure corresponding to images and annotation information. The dataset contains 15,000 images, with a total file size of approximately 3.2G.
Dataset Insights
Sample Examples
e51c7b59**.jpg|2964*3705|1.05 MB
7a78f5d8**.jpg|5184*3456|2.27 MB
bdaaf3b8**.jpg|3963*5945|4.04 MB
366cd521**.jpg|6000*4000|3.92 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of primary crop picking action being performed in the image. |
| hand_position | string | Description of the position of the farmer's hands in the picking action in the image, such as above the waist or below the shoulder. |
| crop_type | string | The type of crop being picked in the image, such as apples, bananas, etc. |
| tool_usage | boolean | Indication of whether tools are used during the picking process. |
| weather_condition | string | The weather condition during the picking action as shown in the image, such as sunny or cloudy. |
| farmer_clothing | string | Description of the type and color of clothing worn by the farmer during picking, such as work clothes, yellow jacket, etc. |
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 purpose of this dataset?
- The Farmer Picking Action Recognition Dataset can be used to develop agricultural automation systems, helping to recognize and analyze farmers' picking actions to improve agricultural production efficiency.
- What types of images are included in this dataset?
- This dataset includes high-quality images of farmers picking crops in various environments, displaying a range of picking postures and actions.
- How can this dataset be used for object detection?
- Object detection algorithms can be trained on the dataset to recognize specific picking actions in the images, enhancing the automation capabilities of agricultural robots or equipment.
- Can this dataset be applied to smart agriculture systems?
- Yes, this dataset can be used in the development of smart agriculture systems to enhance mechanical picking and management efficiency through action recognition.
- Why is accurately recognizing farmers' actions beneficial to agriculture?
- Accurately recognizing farmers' picking actions can help optimize labor distribution, increase picking efficiency, and reduce labor costs, thereby enhancing overall agricultural productivity.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Farmer Picking Action Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/fc389328e8da6c8b6d704b4e27bc539a},
urldate={2025-10-22},
keywords={Agricultural Dataset, Action Recognition, Object Detection Dataset, Farmer Picking Action},
version={1.0}
}Using this in research? Please cite us.
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