Lameness prediction in broiler chicken using a machine learning technique  

作　　者：Irenilza de Alencar Naas Nilsa Duarte da Silva Lima Rodrigo Franco Gonc¸alves Luiz Antonio de Lima Henry Ungaro Jair Minoro Abe 

机构地区：[1]Paulista University-Graduate Program in Production Engineering,Sao Paulo,Brazil

出　　处：《Information Processing in Agriculture》2021年第3期409-418,共10页农业信息处理（英文）

摘　　要：Broiler flock welfare is usually assessed through mortality,physiology,behavior,and walk-ing ability.The possibility of assessing broiler chicken lameness using the bird walking abil-ity was investigated using the machine learning approach for the first time.Data on broiler walking speed and acceleration,genetic strain,and sex were recorded and input in a data-set.Broilers were classified according to the 6-point gait score(GS0 is a sound bird,and GS5 is a severely lame bird).Decision trees were built initially using all datasets.The confusion matrix of each developed model was analyzed.The pruning technique was used,removing from the dataset the variables that did not infer in the classification results.We reorganized the dataset and re-arranged the data by grouping the intermediate target class of gait score using the Borda Count method.Re-processing data,we obtained a new set of decision trees.Using the 3-point gait score(GS0 is a sound bird,and GS2 is a lame bird),we obtained a new model with better accuracy(78%);however,the model had a lower accuracy for classifying lame broilers(GS2,5%).The final decision tree was selected for classifying broilers,either sound or lame,according to their walking speed.The developed model presented good accuracy(91%),and it ordered properly sound(86%)and lame birds(92%).The novel model might be used to assess broiler lameness on-farm by registering the bird displacement velocity.Further developments using the model might allow flock lameness detection automatically.

关 键 词：Broiler welfare Broiler walking speed Decision tree Confusion matrix Gait score 

分 类 号：TS251[轻工技术与工程—农产品加工及贮藏工程] TP39[轻工技术与工程—食品科学与工程]