Weight and volume estimation of poultry and products based on computer vision systems: a review

• Published in: Poultry science Vol. 100; no. 5; p. 101072
• Main Authors: Nyalala, Innocent, Okinda, Cedric, Kunjie, Chen, Korohou, Tchalla, Nyalala, Luke, Chao, Qi
• Format: Journal Article
• Language: English
• Published: England Elsevier Inc 01.05.2021; Elsevier
• Subjects: Animals; Artificial Intelligence; Chickens; classification; computer vision; egg; Meat; Ovum; Poultry; poultry product; Poultry Products; PROCESSING AND PRODUCT; weight estimation; poultry product; weight estimation; egg; classification; computer vision
• ISSN: 0032-5791; 1525-3171
• DOI: 10.1016/j.psj.2021.101072

The appearance, size, and weight of poultry meat and eggs are essential for production economics and vital in the poultry sector. These external characteristics influence their market price and consumers' preference and choice. With technological developments, there is an increase in the application and importance of vision systems in the agricultural sector. Computer vision has become a promising tool in the real-time automation of poultry weighing and processing systems. Owing to its noninvasive and nonintrusive nature and its capacity to present a wide range of information, computer vision systems can be applied in the size, mass, volume determination, and sorting and grading of poultry products. This review article gives a detailed summary of the current advances in measuring poultry products' external characteristics based on computer vision systems. An overview of computer vision systems is discussed and summarized. A comprehensive presentation of the application of computer vision-based systems for assessing poultry meat and eggs was provided, that is, weight and volume estimation, sorting, and classification. Finally, the challenges and potential future trends in size, weight, and volume estimation of poultry products are reported.