Method for identifying fungal diseases of cultivated plants using fuzzy logic

Abstract

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.