E3S Web Conf.
Volume 399, 2023International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
|Number of page(s)||11|
|Section||Natural Resources Management|
|Published online||12 July 2023|
Fungal infection in plant leaves-A Review
a Research scholar, Department of Computer Science, Sri Meenakshi Govt. Arts College for Women (Autonomous), Madurai Kamaraj University, Madurai, Tamilnadu, India
b P.G.& Research Department of Computer Science, R.D. Govt. Arts College, Alagappa University, Karaikudi, Sivaganga, Tamilnadu, India
c P.G& Research Department of Computer Science, Sri Meenakshi Govt. Arts College for Women (Autonomous), Madurai Kamaraj University, Madurai, Tamilnadu, India
d VicePresident, Standard Chartered Global Business Service SdnBhd Kuala Lumpur, Malaysia
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.
Key words: Plant diseases / Fungal infection / Machine learning / Deep learning and Computer vision process
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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