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AgricultureBounding BoxImage Classification

Tomato Plant Health Detection

Bounding boxes classifying tomato plants as healthy or damaged, where early damage signs are barely visible.

SAMPLE PENDING

Sample frames for this project are available under NDA. Write to bilal@wortel.ai and we will share the relevant before and after pairs.

Challenges

  • Differentiating healthy tomato plants from damaged plants by visual characteristics alone.
  • Early or less visible signs of plant damage were difficult to spot.
  • Partially visible and overlapping plants complicated box placement.
  • Growth stages varied, producing differences in plant size and appearance.
  • Weeds and surrounding vegetation sometimes obscured plant identification.
  • Changing lighting conditions and shadows altered the apparent health of plants.
  • Consistent classification standards across a large dataset demanded careful quality control.

Related work

SAMPLE PENDING

Cabbage Size Classification

Bounding boxes plus small, medium or large size labels on each cabbage, judged consistently despite shifting camera distance.

SAMPLE PENDING

Corn Detection & Growth Stage Classification

Bounding boxes separating large and small corn plants from weeds and ambiguous vegetation across complex field imagery.

SAMPLE PENDING

Cotton Detection & Size Classification

Cotton bolls boxed and split into regular and small classes among dense leaves, branches, and heavy occlusion.