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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.1
- 수록면
- 367 - 379 (13page)
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초록· 키워드
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The objectives of this study were to evaluate convolutional neural network models and computer vision techniques for the classification of swine posture with high accuracy and to use the derived result in the investigation of the effect of dietary fiber level on the behavioral characteristics of the pregnant sow under low and high ambient temperatures during the last stage of gestation. A total of 27 crossbred sows (Yorkshire × Landrace; average body weight, 192.2 ± 4.8 kg) were assigned to three treatments in a randomized complete block design during the last stage of gestation (days 90 to 114). The sows in group 1 were fed a 3% fiber diet under neutral ambient temperature; the sows in group 2 were fed a diet with 3% fiber under high ambient temperature (HT); the sows in group 3 were fed a 6% fiber diet under HT. Eight popular deep learning-based feature extraction frameworks (DenseNet121, DenseNet201, InceptionResNetV2, InceptionV3, MobileNet, VGG16, VGG19, and Xception) used for automatic swine posture classification were selected and compared using the swine posture image dataset that was constructed under real swine farm conditions. The neural network models showed excellent performance on previously unseen data (ability to generalize). The DenseNet121 feature extractor achieved the best performance with 99.83% accuracy, and both DenseNet201 and MobileNet showed an accuracy of 99.77% for the classification of the image dataset. The behavior of sows classified by the DenseNet121 feature extractor showed that the HT in our study reduced (p < 0.05) the standing behavior of sows and also has a tendency to increase (p = 0.082) lying behavior. High dietary fiber treatment tended to increase (p = 0.064) lying and decrease (p < 0.05) the standing behavior of sows, but there was no change in sitting under HT conditions.
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등록된 정보가 없습니다.
참고문헌 (24)
참고문헌 신청
Edith J Mayorga / 2019 / Heat stress adaptations in pigs / Animal Frontiers 9(1):54~61
Robert J. Collier / 2015 / Thermal Biology of Domestic Animals / Annual Review of Animal Biosciences 3(1):513~532
Lucy MC / 2017 / Heat stress in pregnant sows: thermal responses and subsequent performance of sows and their offspring / Mol Reprod Dev 84:946~956
KwangYeol Kim / 2019 / Evaluation of high nutrient diets and additional dextrose on reproductive performance and litter performance of heat‐stressed lactating sows / Animal Science Journal 90(9):1212~1219
H.Q. Sun / 2015 / Effects of different amounts of konjac flour inclusion in gestation diets on physio-chemical properties of diets, postprandial satiety in pregnant sows, lactation feed intake of sows and piglet performance / Anim Reprod Sci 152:55~64
Robert J. Collier / 2015 / Thermal Biology of Domestic Animals / Annual Review of Animal Biosciences 3(1):513~532
Lucy MC / 2017 / Heat stress in pregnant sows: thermal responses and subsequent performance of sows and their offspring / Mol Reprod Dev 84:946~956
KwangYeol Kim / 2019 / Evaluation of high nutrient diets and additional dextrose on reproductive performance and litter performance of heat‐stressed lactating sows / Animal Science Journal 90(9):1212~1219
H.Q. Sun / 2015 / Effects of different amounts of konjac flour inclusion in gestation diets on physio-chemical properties of diets, postprandial satiety in pregnant sows, lactation feed intake of sows and piglet performance / Anim Reprod Sci 152:55~64
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