SOURCE-LINKED INTELLIGENCE
Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions
Chilli (Capsicum annuum) is one of India's most economically significant crops, yet its productivity is persistently threatened by diseases that are difficult to identify without expert intervention. While Vision Transformers (ViTs) have achieved high classification accuracy, their large computational footprint makes deployment on resource constrained devices challenging. Existing compression approaches typically address pruning, quantization, and knowledge distillation in isolation, leaving the potential benefits and interactions of their combined application insufficiently explored. We propo
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T16:40:06.000Z
First collected: 2026-09-20T21:52:07.471Z. This is not the publication date.