bioRxiv / medRxiv
open access
CC BY-NC-ND 4.0
DeepBioGS: a hybrid framework for integrating crop growth modelling with genomic prediction through neural networks
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
- dAMN: a genome-scale neural-mechanistic hybrid model to predict bacterial growth dynamics.#209447
- Predicting Potato Crop Yield with Machine Learning and Deep Learning for Sustainable Agriculture#339536
- AgroDualNet: a dual deep learning-based crop disease forecasting and fruit ripening detection.#239723
- EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture#205035
- Data Management and Sharing Plan for: Deep learning for population genetics#278290
Record · ID 293982
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