The CropGPT project: Call for a global, coordinated effort in precision design breeding driven by AI using biological big data-Reference-Cited by-同舟云学术

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The CropGPT project: Call for a global, coordinated effort in precision design breeding driven by AI using biological big data

Published:2023-12 Issue: Volume: Page:
ISSN:1674-2052
Container-title:Molecular Plant
language:en
Short-container-title:Molecular Plant

Author:

Zhu Wanchao,Han Rui,Shang Xiaoyang,Zhou Tao,Liang Chengyong,Qin Xiaomeng,Chen Hong,Feng Zaiwen,Zhang Hongwei,Fan Xingming,Li Weifu,Li Lin^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Plant Science,Molecular Biology

Reference16 articles.

1. ChatGPT: five priorities for research;van Dis;Nature,2023

2. Language Models are Few-Shot Learners;Brown;Adv. neural information processing systems,2020

3. Genomic Selection in Plant Breeding: Methods, Models, and Perspectives;Crossa;Trends Plant Sci.,2017

4. A multi-omics integrative network map of maize;Han;Nat. Genet.,2023

5. ChatDoctor: a medical chat model fine-ttuned on a large language model meta-AI (LLaMA) using medical domain knowledge;Li;arXiv,2023

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1. Molecular Regulation of Shoot Architecture in Soybean;Plant, Cell & Environment;2024-09-10

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