Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales
As an emerging technical means, high-throughput phenotyping (HTP) of crops aims to quickly and accurately reveal the relationship between crop traits and genes as well as environment by analyzing a large amount of phenotypic data, thereby optimizing breeding efficiency and accuracy, and improving cr...
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Guangdong Academy of Agricultural Sciences
2024-11-01
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| Series: | Guangdong nongye kexue |
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| Online Access: | http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202411014 |
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| author | Longyue CHEN Dandan DUAN Weibing XU Zuolin LI Chong ZHAO Yi JIANG Yonggang GAO Wenqing ZUO |
| author_facet | Longyue CHEN Dandan DUAN Weibing XU Zuolin LI Chong ZHAO Yi JIANG Yonggang GAO Wenqing ZUO |
| author_sort | Longyue CHEN |
| collection | DOAJ |
| description | As an emerging technical means, high-throughput phenotyping (HTP) of crops aims to quickly and accurately reveal the relationship between crop traits and genes as well as environment by analyzing a large amount of phenotypic data, thereby optimizing breeding efficiency and accuracy, and improving crop yield and quality, solving the problem of increased demand for food in the context of increasing global population and environmental deterioration. After analyzing the key technical architecture of HTP of crops, the methods and shortcomings of collecting, sorting and analyzing crop phenotypic information are explained from the aspects of sensors, multi-scale observation and big data mining. On this basis, the main application areas of crop phenotyping analysis in recent years were reviewed. The study confirmed that crop HTP analysis is an effective tool for quantifying crop traits, monitoring crop growth, optimizing field management, and improving breeding efficiency. However, there is potential for the improvement of its application performance. Finally, the challenges, optimization solutions, broad prospects and future development trends of HTP phenotyping of crops were discussed. It shows that there are still challenges in data processing and analysis, cross-species, cross-organization, and cross-environment applications. However, with the increasing development of cutting-edge technologies such as cloud big data processing platforms and artificial intelligence, which have great advantages in processing large-volume and high-complexity data, combined with biotechnology and genomics research methods, HTP of crops will play a pivotal role in combating food shortages caused by global environmental changes and population increase. |
| format | Article |
| id | doaj-art-aef8ae23c1244b17b2dfe11433c40ed8 |
| institution | Kabale University |
| issn | 1004-874X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Guangdong Academy of Agricultural Sciences |
| record_format | Article |
| series | Guangdong nongye kexue |
| spelling | doaj-art-aef8ae23c1244b17b2dfe11433c40ed82025-01-18T06:57:01ZengGuangdong Academy of Agricultural SciencesGuangdong nongye kexue1004-874X2024-11-01511114916210.16768/j.issn.1004-874X.2024.11.014202411014Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation ScalesLongyue CHEN0Dandan DUAN1Weibing XU2Zuolin LI3Chong ZHAO4Yi JIANG5Yonggang GAO6Wenqing ZUO7Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100000, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100000, ChinaYuexi County Agriculture and Rural Bureau, Anqing 246000, ChinaInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100000, ChinaNongxin Technology (Guangzhou) Co., Ltd., Guangzhou 511458, ChinaHeyuan Branch, Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Heyuan 517000, ChinaHeyuan Branch, Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Heyuan 517000, ChinaHeyuan Branch, Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Heyuan 517000, ChinaAs an emerging technical means, high-throughput phenotyping (HTP) of crops aims to quickly and accurately reveal the relationship between crop traits and genes as well as environment by analyzing a large amount of phenotypic data, thereby optimizing breeding efficiency and accuracy, and improving crop yield and quality, solving the problem of increased demand for food in the context of increasing global population and environmental deterioration. After analyzing the key technical architecture of HTP of crops, the methods and shortcomings of collecting, sorting and analyzing crop phenotypic information are explained from the aspects of sensors, multi-scale observation and big data mining. On this basis, the main application areas of crop phenotyping analysis in recent years were reviewed. The study confirmed that crop HTP analysis is an effective tool for quantifying crop traits, monitoring crop growth, optimizing field management, and improving breeding efficiency. However, there is potential for the improvement of its application performance. Finally, the challenges, optimization solutions, broad prospects and future development trends of HTP phenotyping of crops were discussed. It shows that there are still challenges in data processing and analysis, cross-species, cross-organization, and cross-environment applications. However, with the increasing development of cutting-edge technologies such as cloud big data processing platforms and artificial intelligence, which have great advantages in processing large-volume and high-complexity data, combined with biotechnology and genomics research methods, HTP of crops will play a pivotal role in combating food shortages caused by global environmental changes and population increase.http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202411014agricultureground and aviation scalehigh-throughput phenotypingbig data miningsensorremote sensing |
| spellingShingle | Longyue CHEN Dandan DUAN Weibing XU Zuolin LI Chong ZHAO Yi JIANG Yonggang GAO Wenqing ZUO Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales Guangdong nongye kexue agriculture ground and aviation scale high-throughput phenotyping big data mining sensor remote sensing |
| title | Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales |
| title_full | Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales |
| title_fullStr | Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales |
| title_full_unstemmed | Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales |
| title_short | Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales |
| title_sort | applications and challenges of high throughput phenotyping of crops at ground and aviation scales |
| topic | agriculture ground and aviation scale high-throughput phenotyping big data mining sensor remote sensing |
| url | http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202411014 |
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