Dataset Viewer
Auto-converted to Parquet Duplicate
file_name
stringclasses
2 values
quality
stringclasses
1 value
fruit_tree_type
stringclasses
1 value
tree_health_status
stringclasses
1 value
crop_stage
stringclasses
1 value
soil_condition
stringclasses
1 value
weed_presence
stringclasses
1 value
irrigation_signs
stringclasses
2 values
3e07ceefbb24c3dfc4c69c89fba0d6c9.jpg
6960*4640
Apple Tree
Healthy
Fruiting Stage
Moist
true
No Significant Irrigation Signs
624a67c2a2a752c33879c0594d4240f8.jpg
6960*4640
Apple Tree
Healthy
Fruiting Stage
Moist
true
No Apparent Irrigation Signs

Orchard Land Use Monitoring Dataset

The current agricultural sector faces significant challenges in land resource management and crop monitoring. Traditional methods are inefficient and insufficiently precise in understanding land use. Existing monitoring technologies lack real-time capability and accuracy, unable to meet the demands of agricultural production decision-making. This dataset aims to assist researchers and developers in creating more effective object detection models by providing high-quality orchard land use monitoring image data, thereby enhancing the level of intelligence in agricultural management. The dataset includes images of various orchard scenarios collected under different times and weather conditions using drones and high-resolution cameras, ensuring data diversity and representativeness. During data processing, multiple rounds of annotation and consistency checks were performed as quality control measures, and agricultural experts were invited to review to ensure the accuracy and reliability of the annotations. Data is stored in JPG format, organized such that each image file corresponds to an annotation file, providing a convenient way of access.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
fruit_tree_type string The type of fruit tree visible in the image, such as apple tree, orange tree, etc.
tree_health_status string The health status of the tree as assessed from the image, such as healthy, diseased, or dead.
crop_stage string The growth stage of the crop or fruit tree, such as bud stage, flowering stage, or fruiting stage.
soil_condition string The observable condition of the soil in the image, such as moist or dry.
weed_presence boolean Indicates whether weeds are present in the image. True if present, false otherwise.
irrigation_signs boolean Presence of irrigation signs observable in the image, such as irrigation equipment or moist traces.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com

Downloads last month
10