Agriculture Specialist
Há 2 dias
Job Title: Rater – Crop Classification in Satellite and Street View Images
Project Goal
The objective of this project is to classify crop types from satellite imagery by leveraging high-quality crop labels derived from street-view images of fields, providing a scalable ground-truth dataset for agricultural research and AI training.
Responsibilities
- Review satellite and street-view images to determine crop type or classify areas as uncultivated based on visual cues.
- Follow established workflows and annotation protocols to ensure consistent and accurate labeling.
- Apply domain knowledge to identify crop types even under partial occlusion.
- Maintain accuracy, attention to detail, and consistency across large volumes of images.
Workflow
- Agricultural Area Presence – Confirm if agricultural fields occupy more than a defined percentage (e.g., 40%) of the image view.
- Field Visibility Assessment – Evaluate visibility of the field:
- Partially Occluded but Identifiable – Annotate the crop type or mark as uncultivated.
- Clearly Visible and Identifiable – Proceed to assign the correct crop label.
Qualifications
- Academic Background : Bachelor’s degree (or higher) in Agriculture, Agronomy, Crop Science, Agricultural Engineering, Horticulture, or a related field.
- Hands-on Experience : Knowledge in Geography, Remote Sensing, Environmental Science, or GIS with exposure to crop identification.
- Agriculture Experience : Previous involvement in crop identification, agricultural surveys, or image annotation.
- Visual Identification Skills : Ability to distinguish crop types from both partial and full views.
Preferred Skills
- Strong attention to detail and familiarity with diverse crop types.
- Prior experience using image annotation tools and platforms is an advantage.
- Ability to work independently and deliver results under defined timelines.
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