Academic literature on the topic 'Precision livestock farming'

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Journal articles on the topic "Precision livestock farming"

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István Komlósi. "The precision livestock farming." Acta Agraria Debreceniensis, no. 49 (November 13, 2012): 201–2. http://dx.doi.org/10.34101/actaagrar/49/2525.

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The application of information technology is the response of the livestock farming to the demand of customer, legal and economical expectations. This technology is the socalled precision livestock farming (PLF). The elements of the PLF are: continuous monitoring of inputs, animal behaviour by sensors, an algorithm which converts these signals into a figure, this figure is compared to an optimum then adjustment of the input is followed, if it is necesary.
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Berckmans, Daniel. "Precision livestock farming (PLF)." Computers and Electronics in Agriculture 62, no. 1 (2008): 1. http://dx.doi.org/10.1016/j.compag.2007.09.002.

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Norton, T., and D. Berckmans. "Developing precision livestock farming tools for precision dairy farming." Animal Frontiers 7, no. 1 (2017): 18–23. http://dx.doi.org/10.2527/af.2017.0104.

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Naresh, M1* Hariharan R² Banoth Sai Nehru³ Gongale Tushar Surendra⁴ Shashikiran S. Doddannavar⁵. "An Overview of Precision Livestock Farming: Innovations in Livestock Farming." Veterinary Today 3, no. 2 (2025): 536–38. https://doi.org/10.5281/zenodo.15025292.

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Precision Livestock Farming (PLF) is an innovative approach that enables real-time monitoring of livestock by equipping animals with sensors to collect and transmit data on their health and behavior. This data helps farmers make informed decisions regarding animal welfare and productivity. The strategic goal of PLF is to promote sustainability in livestock farming, improving efficiency, reducing environmental impact and ensuring both animal and human health. PLF provides a solution for the growing challenges of a decreasing number of farmers and increasing herd sizes by maintaining health moni
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Vranken, Erik, and Dries Berckmans. "Precision livestock farming for pigs." Animal Frontiers 7, no. 1 (2017): 32–37. http://dx.doi.org/10.2527/af.2017.0106.

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Dr., Febin Stephan. "Benefits of Precision Livestock Farming." Science World a monthly e magazine 3, no. 1 (2023): 52–53. https://doi.org/10.5281/zenodo.7549599.

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Precision livestock farming (PLF) is a method of rearing livestock that uses contemporary technologies to collect data on each animal on a farm and use that data to optimize management techniques by lowering input costs or enhancing overall farm -productivity. While being aware of and responsible for its environmental effects, PLF enables farmers to improve production, expand their farms, enhance productivity and satisfy the rising demand for animal products. The PLF focuses on the use of information and communication technology (ICT) to boost livestock production efficiency while also pr
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Juarez, Manuel M. "238 Linking livestock phenomics and precision livestock farming." Journal of Animal Science 98, Supplement_3 (2020): 124. http://dx.doi.org/10.1093/jas/skaa054.212.

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Abstract Numerous pre- and post-mortem factors, such as genotype, production system, growth promotants, diet, health events, stress, slaughter age and weight, carcass chilling, and ageing time, have been shown to impact beef production and final product quality. The objective of livestock phenomics is the systematic acquisition of high dimensional phenotypic data, which requires measuring phenomes as they change in response to genetic mutation and environmental influences. Due to the decrease in costs associated to genomics technology and related fields, researchers had to face the so called “
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Werkheiser, Ian. "Precision Livestock Farming and Farmers’ Duties to Livestock." Journal of Agricultural and Environmental Ethics 31, no. 2 (2018): 181–95. http://dx.doi.org/10.1007/s10806-018-9720-0.

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Berckmans, D. "General introduction to precision livestock farming." Animal Frontiers 7, no. 1 (2017): 6–11. http://dx.doi.org/10.2527/af.2017.0102.

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Xin, Hongwei, and Kai Liu. "Precision livestock farming in egg production." Animal Frontiers 7, no. 1 (2017): 24–31. http://dx.doi.org/10.2527/af.2017.0105.

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Dissertations / Theses on the topic "Precision livestock farming"

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Ferrari, S. "Scientific methodology for sound labelling in relation to precision livestock farming." Doctoral thesis, Università degli Studi di Milano, 2009. http://hdl.handle.net/2434/157889.

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The analysis of animal sounds and vocalizations allows the interpretation of stress, behaviour or disease pattern in a non invasive way, and it might be used to assess welfare, management as well as health status and social adaptation (e.g. hierarchies ). Farm sanitary level especially is crucial for modern livestock farming where high animal density affect health. Monitoring animal health is vital for the sustainable management of a farm but it’s often difficult to apply punctually. The results of a low monitoring are increased disease rate, increased pharmacologic costs and decrease in qua
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Bahlo, Christiane. "Open data and interoperability standards : opportunities for animal welfare in extensive livestock systems." Thesis, Federation University Australia, 2021. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/177520.

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Extensive livestock farming constitutes a sizeable portion of agriculture, not only in relation to land use, but in contribution to feeding a growing human population. In addition to meat, it contributes other economically valuable commodities such as wool, hides and other products. The livestock industries are adopting technologies under the banner of Precision Livestock Farming (PLF) to help meet higher production and efficiency targets as well as help to manage the multiple challenges impacting the industries, such as climate change, environmental concerns, globalisation of markets, increas
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Johansson, Nicklas. "Effekter av kameraövervakning av boskap hos sex lantbrukare i Sverige." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-70935.

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Bakgrund: Lantbruket står inför stora framtida utmaningar som t.ex. stora befolkningsökningar och minskade jordbruksarealer. Ett förslag för att lösa en del av problemet och öka effektiviteten inom lantbruket är att implementera och använda olika digitala tjänster och produkter. Ett av koncepten för den digitala tekniken som har lyfts fram av bland annat EU är Smart farming. Konceptet är brett och innefattar många olika tekniska lösningar, varav en av dessa är kameraövervakning av boskapsdjur. Frågeställning: Har de lantbrukare som använder kameraövervakning av boskapsdjur upplevt en förändrin
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Casten, Carlberg Carl Johan, and Elsa Jerhamre. "Artificial Intelligence in Agriculture : Opportunities and Challenges." Thesis, Uppsala universitet, Avdelningen för datorteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443576.

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Artificial Intelligence (AI) is increasingly used in different parts of society for providing decision support in various activities. The agricultural sector is anticipated to benefit from an increased usage of AI and smart devices, a concept called smart farming technologies. Since the agricultural sector faces several simultaneous challenges, such as shrinking marginals, complicated pan-European regulations, and demands to mitigate the environmental footprint, there are great expectations that smart farming will benefit both individual farmers and industry stakeholders. However, most previou
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Condotta, Isabella Cardoso Ferreira da Silva. "Automatic assess of growing-finishing pigs\' weight through depth image analysis." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-03082017-093143/.

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A method of continuously monitoring weight would aid producers by ensuring all pigs are gaining weight and increasing the precision of marketing pigs thus saving money. Electronically monitoring weight without moving the pigs to the scale would eliminate a stress-generating source. Therefore, the development of methods for monitoring the physical conditions of animals from a distance appears as a necessity for obtaining data with higher quality. In pigs\' production, animals\' weighing is a practice that represents an important role in the control of the factors that affect the performance of
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Rico, José Carlos Silva. "Condicionamento ambiental em suínos na fase de crescimento e engorda." Master's thesis, Universidade de Évora, 2019. http://hdl.handle.net/10174/27904.

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No âmbito do Projeto AWARTECH efetuaram-se dois ensaios com o objetivo de perceber como se monitorizam os parâmetros ambientais e analisar a sua importância na produção e bem-estar animal de suínos em fase de crescimento e engorda. Utilizaram-se 14 fêmeas (7 por ensaio), que foram sujeitas a três ambientes térmicos: inverno (INV), termoneutralidade (TNZ) e verão (VER). Nos dois ensaios, as condições ambientais influenciaram significativamente (p<0,001) a ingestão alimentar (IA), tendo esta sido superior no inverno. Este efeito não foi verificado (p≥0,05) sobre o ganho médio diário (GMD), embor
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Anguzza, Umberto. "A method to develop a computer-vision based system for the automaticac dairy cow identification and behaviour detection in free stall barns." Doctoral thesis, Università di Catania, 2013. http://hdl.handle.net/10761/1334.

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In this thesis, a method to develop a computer-vision based system (CVBS) for the automatic dairy cow identification and behaviour detection in free stall barns is proposed. Two different methodologies based on digital image processing were proposed in order to achieve dairy cow identification and behaviour detection, respectively. Suitable algorithms among that used in computer vision science were chosen and adapted to the specific characteristics of the breeding environment under study. The trial was carried out during the years 2011 and 2012 in a dairy cow free-stall barn located in the mu
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Rosa, Filho Gilberto [UNESP]. "Produtividade da soja em função de atributos físicos de um latossolo vermelho distroférrico sob plantio direto." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/98897.

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Made available in DSpace on 2014-06-11T19:29:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-06-05Bitstream added on 2014-06-13T20:39:22Z : No. of bitstreams: 1 rosafilho_g_me_ilha.pdf: 2808164 bytes, checksum: fea19015d3a1c7ee15b5d9dd2e55686b (MD5)<br>Atualmente, no cenário nacional, a cultura da soja no sistema plantio direto é amplamente utilizada na integração agricultura-pecuária. No ano agrícola de 2006/07, no município de Selvíria (MS), foi analisada a produtividade da soja, em plantio direto, em função de alguns atributos físicos de um Latossolo Vermelho Distroférrico (Typi
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Fischer, Amélie. "Etude de la variabilité interindividuelle de l'efficience alimentaire de la vache laitière." Thesis, Rennes, Agrocampus Ouest, 2017. http://www.theses.fr/2017NSARB296/document.

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L’amélioration de l’efficience alimentaire des animaux peut contribuer à un élevage plus durable par la réduction des ressources utilisées et des rejets associés. Les caractères qui déterminent l’efficience alimentaire des vaches laitières restent mal identifiés. Le projet se propose donc d’identifier les facteurs biologiques associés à la variabilité interindividuelle de l’efficience alimentaire des vaches laitières. La variation d’efficience alimentaire a été estimée avec l’ingéré résiduel, classiquement défini comme la variabilité résiduelle de l’énergie nette ingérée corrigée pour l’énergi
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Mostaço, Gustavo Marques. "Determinação da temperatura retal e frequência respiratória de suínos em fase de creche por meio da temperatura da superfície corporal em câmara climática." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-29052014-150905/.

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A constante influência humana em atividades de manejo animal, além de aumentar os custos de produção, torna-se uma adicional fonte geradora de estresse sobre os animais. Nesse sentido, é necessária a busca pelo desenvolvimento de métodos alternativos de acompanhamento, à distância e em tempo real, das condições físicas dos animais, em conjunto com o controle das instalações. Para a identificação da condição de conforto ou estresse calórico dos animais, alguns indicativos podem vir a auxiliar, tais como a temperatura retal (TR), sendo esse um bom indicador da temperatura do núcleo corporal, bem
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Books on the topic "Precision livestock farming"

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Cox, S., ed. Precision Livestock Farming. Wageningen Academic Publishers, 2003. http://dx.doi.org/10.3920/978-90-8686-515-4.

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Cox, S., ed. Precision Livestock Farming '05. Wageningen Academic Publishers, 2005. http://dx.doi.org/10.3920/978-90-8686-548-2.

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Cox, S., ed. Precision livestock farming '07. Wageningen Academic Publishers, 2007. http://dx.doi.org/10.3920/978-90-8686-604-5.

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Lokhorst, C., and P. W. G. Groot Koerkamp, eds. Precision livestock farming '09. Wageningen Academic Publishers, 2009. http://dx.doi.org/10.3920/978-90-8686-663-2.

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Halachmi, Ilan, ed. Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5.

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Banhazi, T., V. Halas, and F. Maroto-Molina, eds. Practical Precision Livestock Farming. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-934-3.

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Cox, S. W. R. (Sidney Walter Reginald), Institutet för jordbruks- och miljöteknik, and Sveriges lantbruksuniversitet, eds. Precision livestock farming '05. Wageningen Academic Publishers, 2005.

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Van Erp-Van der Kooij, E., ed. Precision technology and sensor applications for livestock farming and companion animals. Wageningen Academic Publishers, 2021. http://dx.doi.org/10.3920/978-90-8686-917-6.

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Grandin, Temple, ed. Improving animal welfare: a practical approach. 3rd ed. CABI, 2021. http://dx.doi.org/10.1079/9781789245219.0000.

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Abstract The third edition of this book contains a total of 20 chapters (including 3 new chapters), including the implementation of an effective animal welfare programme; the importance of measurement to improve the welfare of livestock, poultry and fish; the social and ethical importance of agricultural animal welfare; the implementation of effective animal-based measurements for assessing animal welfare on farms and slaughter plants; how to improve livestock handling and reduce stress; painful husbandry procedures in livestock and poultry; the importance of good stockmanship and its benefits
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Precision Livestock Farming. Wageningen Academic Publishers, 2003.

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Book chapters on the topic "Precision livestock farming"

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Ozguven, Mehmet Metin. "Precision Livestock Farming." In The Digital Age in Agriculture. CRC Press, 2023. http://dx.doi.org/10.1201/b23229-2.

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Nirmalkumar, Sri Sakticharan, M. Krishna, and Jose Anand Archangel. "Precision Livestock Farming Techniques." In Smart Technologies for Sustainable Livestock Systems. CRC Press, 2025. https://doi.org/10.1201/9781003527114-8.

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Berckmans, D. "1.2. Smart farming for Europe: value creation through precision livestock farming." In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_1.2.

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Berckmans, D. "1.2. Smart farming for Europe: value creation through precision livestock farming." In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_2.

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Bewley, J. M., R. A. Russell, K. A. Dolecheck, and M. R. Borchers. "1.1. Precision dairy monitoring: what have we learned?" In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_1.

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Bewley, J. M., R. A. Russell, K. A. Dolecheck, and M. R. Borchers. "1.1. Precision dairy monitoring: what have we learned?" In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_1.1.

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Lehr, H., J. van den Bossche, M. Mergeay, and D. Rosés. "3.3. Developing SmartFarming entrepreneurship – II preparing precision lifestock farming spin-offs." In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_10.

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Banhazi, T., E. Vranken, D. Berckmans, L. Rooijakkers, and D. Berckmans. "3.4. Word of caution for technology providers: practical problems associated with large scale deployment of PLF technologies on commercial farms." In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_11.

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Johnston, D., D. A. Kenny, S. M. Waters, et al. "4.1. The effect of gradual weaning on haematological profiles and leukocyte relative gene expression levels of Holstein-Friesian and Jersey bull calves." In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_13.

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Liboreiro, D. N., K. S. Machado, M. I. Endres, and R. C. Chebel. "4.3. Investigating the use of rumination sensors during the peripartum period in dairy cows." In Precision livestock farming applications. Wageningen Academic Publishers, 2015. http://dx.doi.org/10.3920/978-90-8686-815-5_15.

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Conference papers on the topic "Precision livestock farming"

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Qazi, Ahmed, Taha Razzaq, and Asim Iqbal. "AnimalFormer: Multimodal Vision Framework for Behavior-based Precision Livestock Farming." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00795.

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Alomair, Reem, Abrar Al-Amoudi, Abdulrahman Javaid, Mustafa Alnaser, and Shiekhah Al binali. "Enhancing Precision Livestock Farming Management with AI-Driven Ear Tag Detection and OCR Recognition." In 2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE, 2024. https://doi.org/10.1109/ictmod63116.2024.10878196.

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Gabato, Aaron Jay, Joshua Vendivil, Bea Alessandra Sison, Khavee Agustus Botangen, Neal Del Rosario, and Kier Santiago. "Development of an RFID-Based Record Management Web Portal for Goats Towards Precision Livestock Farming." In 2024 IEEE International Conference on Computing (ICOCO). IEEE, 2024. https://doi.org/10.1109/icoco62848.2024.10928232.

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Farhan, Muhammad, Goldwin Sonick Wijaya Thaha, Eduardus Alvito Kristiadi, and Kusprasapta Mutijarsa. "Cattle Anomaly Behavior Detection System Based on IoT and Computer Vision in Precision Livestock Farming." In 2024 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2024. https://doi.org/10.1109/icitsi65188.2024.10929192.

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Grigorev, Georgii V., Mikhail E. Pitertsev, and Egor I. Fomichev. "Multimodal sensor fusion and embedded control for obstacle-aware feed pusher robotics in precision livestock farming." In Fourth International Conference on Digital Technologies, Optics, and Materials Science (DTIEE 2025), edited by Arthur Gibadullin and Khamza Eshankulov. SPIE, 2025. https://doi.org/10.1117/12.3072669.

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Andonovic, Ivan, Craig Michie, Philippe Cousin, Ahmed Janati, Congduc Pham, and Mamour Diop. "Precision Livestock Farming Technologies." In 2018 Global Internet of Things Summit (GIoTS). IEEE, 2018. http://dx.doi.org/10.1109/giots.2018.8534572.

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Gomes, Jonas S., José Maria N. David, Regina Braga, et al. "Architecture for Decision Support in Precision Livestock Farming." In Brazilian e-Science Workshop. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/bresci.2021.15787.

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The use of sensors in the agricultural domain generates a massive volume of heterogeneous data that must be treated, stored, and processed for decision-making. These decisions must be taken considering the diversity of devices and contextual information, which is often not considered but is important to the decision-making process. This paper presents an architecture to integrate data from sensors related to precision livestock farms. The integration and processing of these data can support decision-making, lead to more accurate results and enhance agribusiness sustainability.
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Milan, Hugo FM, Kristen M. Perano, and Kifle G. Gebremedhin. "Survey and future prospects in precision dairy farming." In 10th International Livestock Environment Symposium (ILES X). American Society of Agricultural and Biological Engineers, 2018. http://dx.doi.org/10.13031/iles.18-053.

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Lopes, S. I., R. Bexiga, J. P. Araújo, et al. "90. Precision livestock farming for reproductive performance optimization: a survey." In 13th Congress of the European Society for Agricultural and Food Ethics. Wageningen Academic Publishers, 2016. http://dx.doi.org/10.3920/978-90-8686-834-6_90.

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Niloofar, Parisa, Sanja Lazarova-Molnar, Deena P. Francis, Alexandru Vulpe, George Suciu, and Mihaela Balanescu. "Modeling and Simulation for Decision Support in Precision Livestock Farming." In 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9383975.

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Reports on the topic "Precision livestock farming"

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Tubb, Catherine, and Tony Seba. Rethinking Food and Agriculture 2020-2030: The Second Domestication of Plants and Animals, the Disruption of the Cow, and the Collapse of Industrial Livestock Farming. RethinkX, 2019. http://dx.doi.org/10.61322/ijip9096.

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By 2030, the number of cows in the U.S. will have fallen by 50% and the cattle farming industry will be all but bankrupt. All other livestock industries will suffer a similar fate, while the knock-on effects for crop farmers and businesses throughout the value chain will be severe. Rethinking Food and Agriculture shows how the modern food disruption, made possible by rapid advances in precision biology and an entirely new model of production we call Food-as-Software, will have profound implications not just for the industrial agriculture industry, but for the wider economy, society, and the en
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