Pesticide Spraying Scene Classification Dataset

#Image classification #deep learning training #pattern recognition #Agricultural automation #spraying operations #crop monitoring

15000 records
3.2G
JPG/PNG/JSON
CATL
MOBIUSI INC

Updated:2026-05-02

AI Analysis & Value Prop

The current agricultural industry faces challenges such as low spraying efficiency and environmental pollution, especially during large-scale farmland spraying. Traditional methods rely on manual operations, which can lead to pesticide waste and uneven spraying. Existing solutions often lack efficient image recognition technology and cannot monitor spraying effectiveness and crop conditions in real-time. This dataset aims to support the intelligent development of agriculture by providing high-quality images of spraying scenes, thereby improving the efficiency and accuracy of spraying operations. Data collection uses high-resolution cameras in actual spraying environments to ensure images accurately reflect operational conditions. Quality control includes multiple rounds of annotation and expert review to ensure data consistency and accuracy. Image data is stored in JPG format, organized by category for easy subsequent processing and analysis.

Dataset Insights

Sample Examples

84f655ee**.jpg|5716*3215|2.12 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
crop_type	string	Identify the type of crop being sprayed in the image.
application_method	string	Identify how pesticides are being applied in the image, such as manual spraying or mechanical spraying.
daytime	string	Determine the time period when the image was taken, such as daytime or nighttime.
weather_condition	string	Identify the weather condition when the image was taken, such as sunny, cloudy, or rainy.
operator_presence	boolean	Determine if there is an operator present in the image.
equipment_type	string	Identify the type of spraying equipment used in the image.
target_area	string	Identify the area being sprayed in the image, such as leaves, stems, or blossoms.

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 is the pesticide spraying scene classification dataset?: The pesticide spraying scene classification dataset is a collection of images for classifying agricultural pesticide spraying scenes, aimed at enhancing the intelligence level of spraying operations.

In which fields is the pesticide spraying scene classification dataset primarily applied?: The pesticide spraying scene classification dataset is primarily applied in the agricultural sector to enhance the intelligence and accuracy of spraying operations.

Why is the pesticide spraying scene classification dataset important for agriculture?: The pesticide spraying scene classification dataset helps achieve intelligent management of spraying operations, improving efficiency and reducing human and resource waste.

What does the imagery in the pesticide spraying scene classification dataset primarily include?: The imagery in the pesticide spraying scene classification dataset primarily includes various spraying scenes, such as spraying processes under different crops, sites, and weather conditions.

How to use the pesticide spraying scene classification dataset for machine learning training?: The labeled images in the pesticide spraying scene classification dataset can be used to train machine learning models to automatically recognize and classify spraying scenes.

What is the contribution of the pesticide spraying scene classification dataset to smart agriculture?: The pesticide spraying scene classification dataset improves the intelligent recognition and precise operation capabilities of spraying equipment, thereby promoting the development of smart agriculture.

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Cite this Work

@dataset{Mobiusi2025,
  title={Pesticide Spraying Scene Classification Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/0c8f54017df916a472c40d4cdc65b60a},
  urldate={2025-09-15},
  keywords={pesticide spraying scene, agricultural image classification, crop monitoring dataset, deep learning agriculture},
  version={1.0}
}

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