Farmland Irrigation Equipment Detection Dataset

#target detection #object recognition #Agricultural equipment monitoring #irrigation system management

5000 records
1.2G
JPG/PNG/JSON
CATL
MOBIUSI INC

Updated:2026-04-16

AI Analysis & Value Prop

The current agricultural field faces challenges such as low equipment management efficiency and frequent irrigation system failures. Traditional manual monitoring methods are time-consuming and prone to errors. Existing solutions often rely on experiential judgment and lack systematic data analysis support, leading to resource waste and yield reduction. To address these issues, this dataset aims to provide high-quality detection data for farmland irrigation equipment to aid in the development and application of intelligent monitoring systems. Data collection uses high-resolution cameras to capture irrigation equipment under various weather conditions, ensuring data diversity and authenticity. Through multiple rounds of annotation and expert review, we ensure annotation accuracy and consistency. Data is stored in JPG format with a clear organizational structure, facilitating subsequent processing and analysis.

Dataset Insights

Sample Examples

2c4e3e37**.jpg|3590*2003|2.35 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
equipment_type	string	Identify the type of irrigation equipment in the image, such as fixed sprinkler, rotating sprinkler, etc.
equipment_condition	string	Identify the operational state of the irrigation equipment in the image, such as on, off, under maintenance, etc.
equipment_location	string	Annotate the specific location of the irrigation equipment in the image.
vegetation_type	string	Identify the type of vegetation affected by the irrigation equipment in the image, such as wheat, rice, etc.
weather_conditions	string	Identify and note the weather conditions at the time the image was taken, such as sunny, cloudy, raining, etc.
water_flow_rate	string	Estimate and identify the water flow rate of the irrigation equipment in the image.
equipment_wear_level	string	Identify the level of wear on the irrigation equipment in the image, such as new, slightly worn, heavily worn, etc.
irrigation_area_coverage	string	Determine and annotate the irrigation area covered by the equipment 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 is the Farmland Irrigation Equipment Detection Dataset?: The Farmland Irrigation Equipment Detection Dataset is a high-quality object detection dataset used for agricultural intelligent monitoring, focusing on the detection and recognition of irrigation equipment in farmland.

What is the main application field of the Farmland Irrigation Equipment Detection Dataset?: This dataset is mainly applied in the agricultural field, supporting the detection and management of irrigation equipment in intelligent monitoring systems.

What data modalities does the Farmland Irrigation Equipment Detection Dataset include?: The Farmland Irrigation Equipment Detection Dataset includes image modality data for object detection tasks.

How can the Farmland Irrigation Equipment Detection Dataset be used for object detection?: This dataset's images can be used to train machine learning models to automatically detect and identify irrigation equipment in farmlands.

How does the Farmland Irrigation Equipment Detection Dataset enhance agricultural intelligence?: By providing high-quality object detection data, it aids in the development and optimization of intelligent monitoring systems, improving the efficiency and automation of farmland management.

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Cite this Work

@dataset{Mobiusi2025,
  title={Farmland Irrigation Equipment Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/f2fa1abdef0672ceb476fcb8b829e83a},
  urldate={2025-09-15},
  keywords={farmland irrigation, equipment detection, target detection dataset, intelligent agricultural monitoring},
  version={1.0}
}

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