Detection of Oligonychus afrasiaticus McGregor (Boufaroua): Building a date palm dataset

Abstract

Dates are found in an advanced position among different fruit crops dueto their high nutritional value and their entry into many food industries, andmost parts of the palm treeareinvolvedinsomeotherindustriesthatfarmershavedevelopedovertheyears, such as the manufacture of some types of furniture . Perhapsoneofthemostimportantobstaclesthatcanlimitthisexpansioninpalmcultivationisplantdiseasesofvariouskinds, andThespidermite(OligonychusafrasiaticusMcGregor ) One of the most famous diseases threatening palm and the most widespread due to climatic factors helping in that. In this work, we used some methods using artificial intelligence in detecting of this pest, aiming at first to build and improve the dataset and then investigate some different CNN model architectures. Then we tried different models for training and compared between results of them. In the last we tried to investigate the fusion of the three models results, to see if there would be any improvements.