weed detection, and panicle segmentation

3 categories of agricultural imagery covering weed detection, panicle segmentation, and paddy leaf disease identification. The dataset provides visual samples for diagnosing crop health and identifying invasive species in rice fields.

Use Cases

• Train a classification model to identify disease types from paddy leaf images.
• Develop an object detection algorithm to locate weeds within the crop rows.
• Build a segmentation model to isolate rice panicles for yield estimation.

Strengths

• Paddy leaf images labeled for disease identification.
• Weed detection annotations for field-level crop management.
• Panicle segmentation data for rice plant analysis.