Datasets:
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
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