A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning
Plant phenotypic image recognition (PPIR) is an important branch of smart agriculture. In recent years, deep learning has achieved significant breakthroughs in image recognition. Consequently, PPIR technology that is based on deep learning is becoming increasingly popular. First, this paper introduc...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/1/81 |
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| author | Jianbin Xiong Dezheng Yu Shuangyin Liu Lei Shu Xiaochan Wang Zhaoke Liu |
| author_facet | Jianbin Xiong Dezheng Yu Shuangyin Liu Lei Shu Xiaochan Wang Zhaoke Liu |
| author_sort | Jianbin Xiong |
| collection | DOAJ |
| description | Plant phenotypic image recognition (PPIR) is an important branch of smart agriculture. In recent years, deep learning has achieved significant breakthroughs in image recognition. Consequently, PPIR technology that is based on deep learning is becoming increasingly popular. First, this paper introduces the development and application of PPIR technology, followed by its classification and analysis. Second, it presents the theory of four types of deep learning methods and their applications in PPIR. These methods include the convolutional neural network, deep belief network, recurrent neural network, and stacked autoencoder, and they are applied to identify plant species, diagnose plant diseases, etc. Finally, the difficulties and challenges of deep learning in PPIR are discussed. |
| first_indexed | 2024-03-10T13:30:55Z |
| format | Article |
| id | doaj.art-5f435712ac204e2c8805def258c14b97 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T13:30:55Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-5f435712ac204e2c8805def258c14b972023-11-21T08:03:34ZengMDPI AGElectronics2079-92922021-01-011018110.3390/electronics10010081A Review of Plant Phenotypic Image Recognition Technology Based on Deep LearningJianbin Xiong0Dezheng Yu1Shuangyin Liu2Lei Shu3Xiaochan Wang4Zhaoke Liu5School of Automation, Guangdong Polytechnic Normal University, Guangzhou 510665, ChinaSchool of Automation, Guangdong Polytechnic Normal University, Guangzhou 510665, ChinaSchool of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, ChinaCollege of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210095, ChinaCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, ChinaSchool of Automation, Guangdong Polytechnic Normal University, Guangzhou 510665, ChinaPlant phenotypic image recognition (PPIR) is an important branch of smart agriculture. In recent years, deep learning has achieved significant breakthroughs in image recognition. Consequently, PPIR technology that is based on deep learning is becoming increasingly popular. First, this paper introduces the development and application of PPIR technology, followed by its classification and analysis. Second, it presents the theory of four types of deep learning methods and their applications in PPIR. These methods include the convolutional neural network, deep belief network, recurrent neural network, and stacked autoencoder, and they are applied to identify plant species, diagnose plant diseases, etc. Finally, the difficulties and challenges of deep learning in PPIR are discussed.https://www.mdpi.com/2079-9292/10/1/81deep learningplant image recognitionplant phenotypeplant feature extraction |
| spellingShingle | Jianbin Xiong Dezheng Yu Shuangyin Liu Lei Shu Xiaochan Wang Zhaoke Liu A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning Electronics deep learning plant image recognition plant phenotype plant feature extraction |
| title | A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning |
| title_full | A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning |
| title_fullStr | A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning |
| title_full_unstemmed | A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning |
| title_short | A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning |
| title_sort | review of plant phenotypic image recognition technology based on deep learning |
| topic | deep learning plant image recognition plant phenotype plant feature extraction |
| url | https://www.mdpi.com/2079-9292/10/1/81 |
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