NCBI PubMed Central
open access
Apple Leaf Disease Detection Based on Improved YOLOv11 with DSSA Mechanism.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Architecture and hyperparameter optimization of YOLOv5 and YOLOv8 for weed detection in garlic fields.#340616
- A Lightweight Phenology-Aware YOLOv5 Framework for Tomato Growth Stage Detection in Resource-Constrained Bhutanese Greenhouse Environments#799320
- A Lightweight Phenology-Aware YOLOv5 Framework for Tomato Growth Stage Detection in Resource-Constrained Bhutanese Greenhouse Environments#797897
- Integrative analysis of morphological traits and targeted flavonoid profiles reveals chemotaxonomic signatures in Abelmoschus species.#465222
- Unveiling cryptic diversity of Diaporthe associated with leaf spots of Fagaceae in China using an integrative taxonomic approach#225821
Record · ID 317712
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive