| Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 8 | |
| Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202448603011 | |
| Published online | 07 February 2024 | |
Method for identifying fungal diseases of cultivated plants using fuzzy logic
1 Siberian Federal Scientific Centre of Agro technology, Russian Academy of Science, Novosibirsk region, Krasnoobsk, 630501, Russia
2 Novosibirsk State Technical University, 20, Karl Marx Avenue, Novosibirsk, 630073, Russia
* Corresponding author: fti2009@yandex.ru
The need to develop effective methods for identifying fungal diseases of cultivated plants at the initial stage of their development, allowing their use in field conditions, is substantiated. Using the example of garden strawberries, a new method for such diagnostics using impedance spectroscopy and fuzzy logic is proposed. Develop a new algorithm and software for classifying such diseases and early detection of their manifestations. The results of experimental studies to identify damage to garden strawberries by fungal pathogens Ramularia tulasnei and Marssonina potentillae are presented.
© The Authors, published by EDP Sciences, 2024
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