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Integrating artificial intelligence and high-throughput phenotyping for crop improvement

Mansoor Sheikh Farooq Iqra Hamadani Ambreen Kumar A Pravin Manzoor Ikra Yong Suk Chung

农业科学学报（英文）2024，Vol.23Issue(6)：1787-1802,16.

农业科学学报（英文）2024，Vol.23Issue(6)：1787-1802,16.DOI:10.1016/j.jia.2023.10.019

Integrating artificial intelligence and high-throughput phenotyping for crop improvement

Mansoor Sheikh ¹Farooq Iqra ²Hamadani Ambreen ³Kumar A Pravin ²Manzoor Ikra ⁴Yong Suk Chung¹

作者信息

1. Phenomics Laboratory,Department of Plant Resources and Environment,Jeju National University,Jeju 63234,Republic of Korea
2. Council of Scientific & Industrial Research,Indian Institute of Integrative Medicine,Pulwama,J&K 192301,India
3. Animal and Dairy Science,University of Wisconsin,Madison,WI 530706,United States of America
4. Division of Fruit Science,Faculty of Horticulture,Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir,Srinagar 190025,India
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摘要

关键词

artificial intelligence/crop improvement/data analysis/high-throughput phenotyping/machine learning/precision agriculture/trait selection

Key words

artificial intelligence/crop improvement/data analysis/high-throughput phenotyping/machine learning/precision agriculture/trait selection

引用本文复制引用

Mansoor Sheikh,Farooq Iqra,Hamadani Ambreen,Kumar A Pravin,Manzoor Ikra,Yong Suk Chung..Integrating artificial intelligence and high-throughput phenotyping for crop improvement[J].农业科学学报（英文）,2024,23(6):1787-1802,16.

基金项目

This research was supported by a grant from the Standardization and Integration of Resources Information for Seed-cluster in Hub-Spoke Material Bank Program,Rural Development Administration,Republic of Korea(PJ01587004). （PJ01587004）

农业科学学报（英文）

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ISSN：2095-3119

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