(GIST OF SCIENCE REPORTER) AI based model for disease detection in potato crops using photos of leaves
AI based model for disease detection in potato crops using photos of leaves
- Researchers at the Indian Institute of Technology (IIT) Mandi have developed an AI solution that can detect diseases of the tuber crop simply by examining photographs of potato leaves.
- The blight is a common disease of the potato plant, that starts as uneven light green lesions near the tip and the margins of the leaf and then spreads into large brown to purplish-black necrotic patches that eventually leads to rotting of the plant.
- If left undetected and unchecked, blight could destroy the entire crop within a week under conducive conditions.
- The computational tool developed by scientists, on the other hand, can detect blight in potato leaf images.
- The model is built using an AI tool called mask region-based convolutional neural network architecture and can accurately highlight the diseased portions of the leaf amid a complex background of plant and soil matter.
- The advanced HD cameras, better computing power and communication avenues offered by smartphones offer a promising platform for automated disease detection in crops.
Courtesy: Science Reporter