CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact
cs.CV, cs.LG
Submitted: 2026-08-26
Updated: 2026-08-26
Comments: 25 pages, 6 figures, and 15 tables. Includes benchmark-audit, model-retention, runtime-fidelity, and reproducibility appendices
Project page: https://tqwei05.github.io/PlantWild/access_v2
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- An open access repository of images on plant health to enable the development of mobile disease diagnostics
- DINOv3
- Energy-Efficient Plant Monitoring via Knowledge Distillation
- Mobile-Friendly Deep Learning for Plant Disease Detection: A Lightweight CNN Benchmark Across 101 Classes of 33 Crops
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