Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests

Table 1

Details of oilseed rape pest dataset.

Species	Number of images	Number of objects
Athalia rosae japanensis	352	375
Creatonotus transiens	175	182
Entomoscelis adonidis	87	134
Entomoscelis suturalis	30	36
Hellula undalis	320	322
Lipaphis erysimi	150	1474
Mamestra brassicae	334	343
Meligethes aeneus	164	566
Phyllotreta striolata	220	272
Pieris rapae	610	690
Plutella xylostella	475	484
Psylliodes punctifrons	105	138
Total	3022	5016