Farmland Soil Moisture Estimation Dataset

#Object detection #image segmentation #Farmland management #precision agriculture #soil monitoring
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-09-21

AI Analysis & Value Prop

The current agriculture industry faces challenges such as insufficient soil moisture monitoring, scattered data, and lack of precision management. Existing solutions mostly rely on traditional soil moisture measurement, which lacks real-time capability and accuracy, making it difficult to meet the needs of precision agriculture. This dataset aims to solve the real-time and accuracy issues of soil moisture monitoring by providing high-quality soil moisture estimation data, supporting intelligent agricultural decision-making. Data collection is done using high-resolution cameras under different climatic conditions, combined with soil moisture sensors for annotation. Quality control measures include multiple rounds of annotation and consistency checks to ensure data accuracy and reliability. The data is stored in JPG format, organized in a way that each sample is equipped with corresponding annotation information, facilitating subsequent model training and application.

Dataset Insights

Sample Examples

0141240e**.jpg|4528*3016|2.62 MB

56f00ecf**.jpg|6960*4640|6.85 MB

ed66acd4**.jpg|5760*3840|4.97 MB

3bf5fddd**.jpg|6000*4000|7.88 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
soil_moisture_levelstringAn estimation of the soil moisture level such as wet, dry, or moderate.
soil_colorstringThe visible color of the soil in the image, which helps in estimating moisture.
vegetation_coveragefloatThe percentage of vegetation covering the soil surface.
crop_typestringThe main type of crop visible in the image.
weather_conditionstringWeather condition at the time the image was captured, such as sunny or cloudy.
soil_texturestringDescription of soil granulometry and texture properties like sandy or loamy.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Farmland Soil Moisture Estimation Dataset?
The Farmland Soil Moisture Estimation Dataset is a high-quality image collection used for assessing soil moisture, particularly useful in precision agriculture.
How does the Farmland Soil Moisture Estimation Dataset promote precision agriculture?
By providing detailed soil moisture image data, this dataset helps farmers better understand the moisture conditions of their fields, improving crop yield and water use efficiency.
What types of images are included in this dataset?
The images in the dataset are primarily used for soil moisture object detection in farmland areas, helping users identify soil moisture regions.
What are the applications of this dataset in agriculture?
The dataset is used in precision agriculture for soil monitoring, crop growth assessment, and developing water-saving irrigation strategies.
How can this dataset be used for research or innovation projects?
Researchers and innovators can use this dataset for training machine learning models to optimize farmland management and enhance agricultural productivity.

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Cite this Work

@dataset{Mobiusi2025,
  title={Farmland Soil Moisture Estimation Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/d33a20017fb938a66f69b00b81b66ef4},
  urldate={2025-09-15},
  keywords={Soil moisture dataset, agricultural dataset, object detection, precision agriculture},
  version={1.0}
}

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