Fungal infection in plant leaves-A Review
The primary resource of a country is agriculture and crop production. The economic development of the country also resides on the agricultural products which ultimately determines the growth of the citizen. The major crisis in food production is the influence of diseases in plants. This ultimately a...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_02010.pdf |
| _version_ | 1797775950950170624 |
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| author | Chelladurai K. Sujatha N. Narayanan Valli Latha |
| author_facet | Chelladurai K. Sujatha N. Narayanan Valli Latha |
| author_sort | Chelladurai K. |
| collection | DOAJ |
| description | The primary resource of a country is agriculture and crop production. The economic development of the country also resides on the agricultural products which ultimately determines the growth of the citizen. The major crisis in food production is the influence of diseases in plants. This ultimately abolish the economy of the country, as major portion of progress of the nation is dependent on agriculture and its products. The challenges faced by the farmers are the unawareness of the various diseases that affects different parts of the plants. They should be able to identify the early infection caused in plants by different pathogens like bacteria, fungi, virus etc., Main disease-causing agent is found to be the fungus which was the vital factor that produce serious loss in the agriculture. Again, the pesticides and fertilizers used by the agriculturist changes to be hazardous for human beings and wild life species. This problem should be considered as a chief calamity and an alternate measure must be found to support the cultivators. An innovative step adopted by the researchers are prompt detection of the diseases using machine learning and deep learning algorithms. These algorithms use different image processing techniques and computer vision process to classify the disease in plant parts at an earlier stage. This paper provides a detailed review on the fungal infection caused in plant leaves and its identification using deep learning methodology. |
| first_indexed | 2024-03-12T22:43:05Z |
| format | Article |
| id | doaj.art-3bc7167ab2124d31b57d578faf3671b6 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T22:43:05Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3bc7167ab2124d31b57d578faf3671b62023-07-21T09:28:45ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013990201010.1051/e3sconf/202339902010e3sconf_iconnect2023_02010Fungal infection in plant leaves-A ReviewChelladurai K.0Sujatha N.1Narayanan Valli Latha2Research scholar, Department of Computer Science, Sri Meenakshi Govt. Arts College for Women (Autonomous), Madurai Kamaraj UniversityP.G& Research Department of Computer Science, Sri Meenakshi Govt. Arts College for Women (Autonomous), Madurai Kamaraj UniversityVicePresident, Standard Chartered Global Business Service SdnBhdThe primary resource of a country is agriculture and crop production. The economic development of the country also resides on the agricultural products which ultimately determines the growth of the citizen. The major crisis in food production is the influence of diseases in plants. This ultimately abolish the economy of the country, as major portion of progress of the nation is dependent on agriculture and its products. The challenges faced by the farmers are the unawareness of the various diseases that affects different parts of the plants. They should be able to identify the early infection caused in plants by different pathogens like bacteria, fungi, virus etc., Main disease-causing agent is found to be the fungus which was the vital factor that produce serious loss in the agriculture. Again, the pesticides and fertilizers used by the agriculturist changes to be hazardous for human beings and wild life species. This problem should be considered as a chief calamity and an alternate measure must be found to support the cultivators. An innovative step adopted by the researchers are prompt detection of the diseases using machine learning and deep learning algorithms. These algorithms use different image processing techniques and computer vision process to classify the disease in plant parts at an earlier stage. This paper provides a detailed review on the fungal infection caused in plant leaves and its identification using deep learning methodology.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_02010.pdfplant diseasesfungal infectionmachine learningdeep learning and computer vision process |
| spellingShingle | Chelladurai K. Sujatha N. Narayanan Valli Latha Fungal infection in plant leaves-A Review E3S Web of Conferences plant diseases fungal infection machine learning deep learning and computer vision process |
| title | Fungal infection in plant leaves-A Review |
| title_full | Fungal infection in plant leaves-A Review |
| title_fullStr | Fungal infection in plant leaves-A Review |
| title_full_unstemmed | Fungal infection in plant leaves-A Review |
| title_short | Fungal infection in plant leaves-A Review |
| title_sort | fungal infection in plant leaves a review |
| topic | plant diseases fungal infection machine learning deep learning and computer vision process |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_02010.pdf |
| work_keys_str_mv | AT chelladuraik fungalinfectioninplantleavesareview AT sujathan fungalinfectioninplantleavesareview AT narayananvallilatha fungalinfectioninplantleavesareview |