CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact
This work presents CropCop, a closed-set recognition system spanning 120 operational plant-health classes and an evidence chain from corpus reconstruction to direct execution of the final quantised artifact that establishes strong leakage-controlled internal recognition and software-runtime fidelity.
Rana Muhammad Ahmed, Sabahat Abbas
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