2020
DOI: 10.1016/j.compag.2020.105284
|View full text |Cite
|
Sign up to set email alerts
|

An experimental study of stunned state detection for broiler chickens using an improved convolution neural network algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
16
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 25 publications
(16 citation statements)
references
References 40 publications
0
16
0
Order By: Relevance
“…Moreover, the results of this study indicate that it achieved high predictive value (R 2 = 0.99). Meanwhile, Amrei et al [49] achieved lower value (R 2 = 0.98) with the camera height of 2m above floor.…”
Section: Camera Positionmentioning
confidence: 97%
See 1 more Smart Citation
“…Moreover, the results of this study indicate that it achieved high predictive value (R 2 = 0.99). Meanwhile, Amrei et al [49] achieved lower value (R 2 = 0.98) with the camera height of 2m above floor.…”
Section: Camera Positionmentioning
confidence: 97%
“…Computer vision has been widely used in various processes of different poultry production systems. It includes automation of the house management, behavior, and welfare [11,[29][30][31][32][33][34][35][36][37][38][39][40], disease detection [28,[41][42][43][44][45][46][47], weight measurement [27,[48][49], slaughtering process [50][51], carcass quality [52][53][54][55], and egg examination [56][57][58][59][60][61][62][63][64][65]. On the other hand, computer vision also popular on other livestock monitoring, such as pig [73][74][75][76][77][78][79][80], sheep or cattle …”
Section: Overview Of Computer Vision In Poultry Farmmentioning
confidence: 99%
“…Many versions of the YOLO algorithm have been developed to enhance the system effectiveness [ 6 , 8 , 36 ]. Therefore, the effectiveness of the proposed method was verified by comparing it with two deep learning algorithms, namely YOLO v3 and Tiny YOLO v4.…”
Section: Object Detectionmentioning
confidence: 99%
“…The development of a robot that can autonomously remove dead chickens through object detection in poultry houses would not only reduce the time and labor costs but also human–poultry contact to improve biological safety. Deep learning is widely adopted for object detection in various fields, such as medical care [ 5 , 6 ], autonomous driving [ 7 ], and chicken industry [ 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, with the development of machine vision, domestic and foreign scholars have widely applied nondestructive machine vision testing to the identification and classification of agricultural products [13]. Based on texture uniformity measurement technology, Hassan and Nashat [14] achieved a 100% recognition rate of healthy olives.…”
Section: Introductionmentioning
confidence: 99%