High-throughput horticultural phenomics: The history, recent advances and new prospects

Zhang, Moran1,3,4,5,6; Xu, Shengyong1,3,4,5; Han, Yutong1; Li, Dongping7; Yang, Shuo8; Huang, Yuan2,4,5

2023-10-01

10.1016/j.compag.2023.108265

COMPUTERS AND ELECTRONICS IN AGRICULTURE   Impact Factor & Quartile

0168-1699

1872-7107

With the development of advanced sensors, artificial intelligence, and computer vision, horticultural phenomics has made great progress in recent years. However, there is a lack of systematic reviews to discuss the horticultural phenomics and its applications at present. In this paper, we aim to fill this gap by providing a comprehensive review of the past developments, recent advances and existing callenges. Furthermore, we propose conception and give our prospects of high-throughput horticultural phenomics. We envision that horticultural phenomics will evolve towards multiscale, multidimension, multiperiod approach in the near future. This transformation will enable researchers to better realize the physiological processes, understand the genetic composition and develop new cultivars of horticultural plants that are better adapted to specific environments. Consequently, it will greatly promote the omics research in horticultural plants. In addition to advancing scientific research, high-throughput horticultural phenomics can also assist growers in efficient crop management, leading to improved yield and quality of horticultural products. However, it is important to acknowledge the challenges that need to be overcome. Once these challenges are addressed, high-throughput horticultural phenomics will become increasingly important in the fight against climate changes and maximizing profits.

Horticultural phenomics Physiological processes Genetic composition Develop new cultivars Omics research

SCI

English

Others

Xianning Science and Technology Program[SZYJY2022006] ; Fundamental Research Funds for the Central Uni-versities[2022NYYF016] ; null[BC2022111] ; null[2662022YLYJ010]

Agriculture ; Computer Science

Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications

WOS:001081266100001

ELSEVIER SCI LTD

COMPUTER SCIENCE

Web of Science

1.Huazhong Agr Univ, Coll Engn, Wuhan 430070, Peoples R China
2.Huazhong Agr Univ, Coll Hort & Forestry Sci, Natl Key Lab Germplasm Innovat & Utilizat Hort Cro, Wuhan 430070, Peoples R China
3.Huazhong Agr Univ, Key Lab Agr Equipment Middle & Lower Reaches Yangt, Minist Agr, Wuhan 430070, Peoples R China
4.Huazhong Agr Univ, Shenzhen Inst Nutr & Hlth, Shenzhen 518120, Peoples R China
5.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen Branch, Guangdong Lab Lingnan Modern Agr,Genome Anal Lab,M, Shenzhen 518120, Peoples R China
6.Southern Univ Sci & Technol, Dept Biomed Engn, Shenzhen 518055, Peoples R China
7.Tibet Lvzhiyuan Modern Agr Technol Co Ltd, Shannan 850800, Peoples R China
8.Xianning Agr Acad Sci, Xianning 437199, Peoples R China

Zhang, Moran,Xu, Shengyong,Han, Yutong,et al. High-throughput horticultural phenomics: The history, recent advances and new prospects[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2023,213.

Zhang, Moran,Xu, Shengyong,Han, Yutong,Li, Dongping,Yang, Shuo,&Huang, Yuan.(2023).High-throughput horticultural phenomics: The history, recent advances and new prospects.COMPUTERS AND ELECTRONICS IN AGRICULTURE,213.

Zhang, Moran,et al."High-throughput horticultural phenomics: The history, recent advances and new prospects".COMPUTERS AND ELECTRONICS IN AGRICULTURE 213(2023).