The effect of age on young sheep biometric identification

Autor: Hitelman, Y. Edan, A. Godo, R. Berenstein, J. Lepar, I. Halachmi
Rok vydání: 2022
Popis: Biometricidentificationprovidesanimportanttoolforprecisionlivestockfarming.Thisstudyinvestigatestheeffectofweightgainandsheepmaturationonrecognitionperformance.Sheepfacialidentificationwasimplementedusingtwoconvolutionalneuralnetwork(CNN)calledFasterR-CNN,and ResNet50V2,equippedwiththestate-of-artAdditiveAngularMargin(ArcFace)lossfunction.Theidentificationmodelwastestedon47youngsheepatdifferentstages,duringa3-monthgrowthperiod,when theywerebetween2and5monthsold,throughoutwhichthesheepgainedapproximately30kilograms inweight.Resultsrevealedthatwhenthemodelwastrainedandtestedonimagesofsheepaged 2months,theaverageaccuracyofthegroupwas95.4%,comparedwith91.3%whentrainedonimages ofsheepaged2monthsbuttestedonimagesofsheepaged5months.
Databáze: OpenAIRE