Agricultural Product Transportation Scene Dataset

#object detection #image recognition #agricultural product transportation #logistics management #smart agriculture

20000 records
3.3G
JPG/PNG/JSON
CATL
MOBIUSI INC

Updated:2026-05-01

AI Analysis & Value Prop

The current agricultural industry faces challenges such as low transportation efficiency and high loss rates. Especially during the transportation of agricultural products, the damage rate significantly affects farmers' income. Existing solutions primarily rely on manual inspection, which is inefficient and error-prone, hence the urgent need for an efficient automated detection method. This dataset aims to provide fundamental data for object detection in agricultural product transportation scenarios to help develop automated monitoring systems. Data collection is performed using high-resolution cameras capturing agricultural product transportation scenes under various lighting and weather conditions, ensuring data diversity and representativeness. In terms of quality control, the data undergoes multiple rounds of annotation, consistency checks, and expert reviews to ensure annotation accuracy and consistency. Data storage is in JPG format organized into a folder structure for quick access and processing.

Dataset Insights

Sample Examples

e2ab296e**.jpg|2968*1975|1.71 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
transport_vehicle_type	string	The type of vehicle used during transportation, such as a truck or tractor.
product_type	string	The type of agricultural product being transported, such as fruit, vegetables, or wheat.
product_quantity	integer	The quantity of agricultural products being transported, which helps to understand the scale of transportation.
weather_condition	string	The weather condition when the image was captured during transportation.
time_of_day	string	The time period when the image was taken, such as morning, afternoon, or evening.
obstacles_present	boolean	Indicates whether there are obstacles present in the transportation process as depicted in the image.
road_condition	string	The condition of the road during transportation, such as smooth, rough, or slippery due to rain.

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 agricultural product transportation scene dataset?: This dataset can be applied to improve agricultural logistics efficiency, optimize transportation routes, and enhance fresh management of agricultural products.

What types of images are included in the agricultural product transportation scene dataset?: The dataset contains images depicting various transportation scenarios, including loading situations on different transportation means and scenes in various environmental conditions during transportation.

What are the advantages of using this dataset for object detection?: Using this dataset for object detection can effectively identify and track the states of agricultural products during transportation, thereby enhancing monitoring and management levels in the logistics process.

How can this agricultural dataset be used to enhance logistics efficiency?: By analyzing the transportation scene images in the dataset, one can optimize routes and modes of transportation, thus reducing time and costs, and improving logistics efficiency.

What potential impacts does the agricultural product transportation scene dataset have on agriculture?: This dataset supports the development of smart agriculture by improving transportation efficiency and management capabilities, ultimately enhancing the supply chain of agricultural products and consumer experience.

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Cite this Work

@dataset{Mobiusi2025,
  title={Agricultural Product Transportation Scene Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/66be44825d2614a9862fff75d9eb9a55},
  urldate={2025-09-15},
  keywords={agricultural product transportation dataset, object detection, agricultural dataset, logistics management},
  version={1.0}
}

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