Information perception in modern poultry farming: A review

Wu, Dihua; Cui, Di; Zhou, Mingchuan

doi:10.1016/j.compag.2022.107131

Cited by 36 publications

(21 citation statements)

References 114 publications

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“…In the last few years ICT has flourished and assisted Agricultural domain in each and every stage of crop life cycle [10][11][12]. Even poultry farming is also benefited by ICT and has been a boon for poultry breeders and owners [13][14][15][16]. Web App or Web application is a software that runs on web server and can be accesses via internet in a web browser.…”

Section: Web Appsmentioning

confidence: 99%

Selective Breeding under a Hierarchical Mating Using Osborne Index Web App

Raj,

Savaliya,

Patel

2023

AJRCoS

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The poultry industry has targets to meet consumption trends and thus to produce genetically superior birds with high productivity of egg. Better egg production techniques are recommended, to satisfy in-house and export demand. The correlation of egg production with various parameters is considered by various breeders. With the efforts of breeders to satisfy demand, poultry breeding has introduced individual feed conversion testing, Osborne index, pedigreeing, hybridization, selection index, artificial insemination, and mass selection etc. The most reliable and proven Osborne index states that the maximum efficiency of egg production can be obtained by selection on the basis of a combination of family average and individual record. Technological advances have fostered the poultry sector in the last few decades. ICT led transmutation of processes and practices is apparent in almost all aspects of human activities. Knowledge about a particular breeding technique is required for its prefect implementation. These techniques require a kind of data mining and statistical analysis for matting sires and dams. In the era of 5G, Web Apps can provide better options for providing timely, precise analyzed information to poultry owners or breeders. This paper proposes a device responsive web app for Osborne Index for hierarchical mating using selective breeding.

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Section: Web Appsmentioning

confidence: 99%

Selective Breeding under a Hierarchical Mating Using Osborne Index Web App

Raj,

Savaliya,

Patel

2023

AJRCoS

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“…The contribution of poultry to the economies of many developing countries is significant and supports the livelihoods of many individuals, especially in rural areas [23]. Consuming poultry products, including meat and eggs, is a significant means for humans to acquire animal protein [24].…”

Section: Introductionmentioning

confidence: 99%

Insect Meal as an Alternative to Protein Concentrates in Poultry Nutrition with Future Perspectives (An Updated Review)

Sajid,

Asghar,

Tariq

et al. 2023

Agriculture

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In recent years, interest has grown among poultry nutritionists in using alternative protein sources, such as insect meal, to meet the protein requirements of poultry due to sustainability concerns surrounding traditional protein sources such as soybean and fish meal. Insect meal can be produced from different insects, including black soldier fly, mealworms, and house crickets, and its nutrient composition varies depending on the insect species, the substrate they are reared on, and the production method. This review article provides an updated overview of insect meal as a new form of protein concentrate in poultry diets, including its nutritional value, advantages, challenges, and future prospects. Insect meal has been shown to be a rich source of protein, amino acids (lysine, methionine), and minerals (calcium, phosphorus, zinc), with a high digestibility rate, making it a valuable feed ingredient for poultry production. Additionally, using insect meal in poultry feed could reduce the cost of production and the environmental impact on the industry. Furthermore, the use of insect meal has the potential to improve the growth performance and meat quality of poultry species. However, several challenges related to large-scale insect production, legal regulatory frameworks, and consumer acceptance need to be addressed. Future research and development could help overcome these challenges and increase the adoption of insects as a potential source of protein in poultry feed. This review provides an updated and comprehensive overview of insects as a potential source of protein for poultry nutrition and highlights the possible perspectives of insect meal to contribute to a more sustainable and efficient poultry production system. While challenges remain, the utilization of insect meal in poultry feed has the capability to enhance the sustainability and efficiency in the poultry industry. Hence, insect meal emerges as a highly encouraging protein alternative, offering sustainable prospects for its utilization within the poultry sector. However, advancements in insect production technology and efficiency have the potential to raise the production scale while lowering prices, making insect meals more affordable compared to conventional protein sources. Based on the comprehensive analysis, it is recommended to further explore the practical implementation of insect meal as a reliable and efficient means of supplying protein in poultry nutrition.

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“…With the increasing demand for poultry meat and eggs, the poultry farming industry is rapidly developing towards industrialization and scale. The information level of modern poultry breeding has been continuously improved and enhanced [1]. The welfare level of poultry under large-scale breeding has gradually attracted the attention of various countries [2], and standardized farming conditions have been proposed in various countries to improve the welfare level of poultry breeding [3].…”

Section: Introductionmentioning

confidence: 99%

Application of deep learning methods in behavior recognition of laying hens

et al. 2023

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Poultry behaviors reflect the health status of poultry. For four behaviors of laying hens, such as standing, lying, feeding, and grooming, four deep learning methods for recognition were compared in this paper, as Efficientnet-YoloV3, YoloV4-Tiny, YoloV5, and Faster-RCNN. First, the behavior detection dataset was produced based on the monitoring video data. Then, four algorithms, Efficientnet-YoloV3, YoloV4-Tiny, YoloV5, and Faster-RCNN, were used for training respectively. Finally, using the validation set for recognition, we got the mAP values for the four algorithms: Efficientnet-YoloV3 had mAP values of 81.82% (standing), 88.36% (lying), 98.20% (feeding), 77.30% (grooming), and its FPS values were 9.83 in order; YoloV4-Tiny had mAP values of 65.50% (standing), 78.40% (lying), 94.51% (feeding), 62.70% (grooming), and their FPS values were 14.73 successively; YoloV5 had mAP values of 97.24% (standing), 98.61% (lying), 97.43% (feeding), 92.33% (grooming), and their FPS values were 55.55 successively; Faster-RCNN had mAP values were 95.40% (standing), 98.50% (lying), 99.10% (feeding), and 85.40% (grooming), and their FPS values were 3.54 respectively. The results showed that the YoloV5 algorithm was the optimal algorithm among the four algorithms and could meet the requirements for real-time recognition of laying hens’ behavior.

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Information perception in modern poultry farming: A review

Cited by 36 publications

References 114 publications

Selective Breeding under a Hierarchical Mating Using Osborne Index Web App

Selective Breeding under a Hierarchical Mating Using Osborne Index Web App

Insect Meal as an Alternative to Protein Concentrates in Poultry Nutrition with Future Perspectives (An Updated Review)

Application of deep learning methods in behavior recognition of laying hens

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