Conceptio
›
Archive
›
arXiv (All)
arXiv (All)
open access
A Lightweight Phenology-Aware YOLOv5 Framework for Tomato Growth Stage Detection in Resource-Constrained Bhutanese Greenhouse Environments
Gocha, Sherab et al.
arXiv (All) · Papers · License: Open Access
Open Source ↗
Direct PDF ↓
machine learning
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
Stringological sequence prediction III: layered ziplines and a tradeoff between efficiency and expressivity
#1014985
Intrinsic Sequence-Likelihood Confidence in Retrieval-Dominated Extractive QA: Two Pre-Specified Negatives, and What They Do and Do Not Attribute
#1014987
Record
· ID 799320
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.