Prospects for digitalization of monitoring of Lepidoptera phytophages of grapes

Abstract The effectiveness of phytophagous insect control systems depends on the accuracy chosen method monitoring their numbers and available information dynamics population number. As part automation processes collecting analyzing data biological activity pheromone preparations phytophage grapes Lobesia botrana Den. et Schiff., counting number pest butterflies glue inserts traps has been improved by use digital cameras MCView software. According to validation results, it was found that, relative actual data, ensured at a density 45-321 imago/insert an average 99.1%, which exceeded results traditional visual 5%. It is shown that partial made possible reduce influence particular researcher, as subjective factor, experiment results. An increase in time required for 30% noted. presented quantitative evaluation vineyards transitional stage full this collection analysis. For purpose, date, photosets have collected containing more than 1000 photos with captured training convolutional neural network begun designed detect quantify such grape lepidopteran phytophages botrana, Helicoverpa armigera Hbn., Theresimima ampelophaga Bayl. (Insecta: Lepidoptera).