Short communication: Insect detection using a machine learning model

Abstract. Homchan S, Gupta YM. 2021. Short communication: Insect detection using a machine learning model. Nusantara Bioscience 13: 69-73. The key step in characterizing any organisms and their gender highly relies on correct identification of specimens. Here we aim to classify insect sex by supervised (ML) In the present preliminary study, used newly developed graphical user interface (GUI) based platform create model for classifying two economically important cricket species. This study aims develop ML Acheta domesticus Gryllus bimaculatus species classification sexing. An experimental investigation was conducted use Google teachable GTM sexing pre-processed 2646 still images. alternative method image processing is extract images from high-resolution video optimum accuracy. Out images, 2247 were training 399 testing trained prediction accuracy had 100 % identify both sex. can be integrated into mobile application may guide professionals field life science models classification, serve as an example researchers taxonomists employ analysis. Apart our main goals, paper also intends provide possibility biological studies conduct assessment biodiversity.