Development of sound-based poultry health monitoring tool for automated sneeze detection

• Published in: Computers and electronics in agriculture Vol. 162; pp. 573 - 581
• Main Authors: Carpentier, Lenn, Vranken, Erik, Berckmans, Daniel, Paeshuyse, Jan, Norton, Tomas
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.07.2019; Elsevier BV
• Subjects: Acoustics; Algorithms; Automation; Bioacoustics; Broiler; Chickens; Health; Meat; Poultry; Precision livestock farming; Respiratory diseases; Sneezing; Sound; Sound analysis; Sound recordings; Subtraction; Bioacoustics; Precision livestock farming; Sound analysis; Respiratory diseases; Broiler

•Monitor bioacoustics to detect respiratory problems.•Algorithm to detect sneezing in broiler chickens.•Classification of unbalanced dataset.•The algorithm obtained a sensitivity of 66.7% and a precision of 88.4%. Respiratory diseases are a major health challenge in meat chicken production. As sneez...