HerdHero: A Livestock Management System with Descriptive Analytics
Tác giả
Tóm tắt
Tài liệu tham khảo
[1] Statista: Agriculture in the Philippines - statistics & facts. Statista Research Department. https://www.statista.com/topics/5744/agriculture-industry-in-the-philippines/#topicHeader__wrapper. Accessed 09 Mar 2023
[2] International Labour Organization: Five studies of the Philippine Summary analysis and agriculture sector policy recommendations. https://www.ilo.org/wcmsp5/groups/public/---asia/---ro-bangkok/---ilo-manila/documents/publication/wcms_843646.pdf. Accessed 09 Mar 2023
[3] Banda, L.J., Tanganyika, J.: Livestock provide more than food in smallholder production systems of developing countries. Anim. Front. 11(2), 7–14 (2021). https://doi.org/10.1093/AF/VFAB001
[4] Fletcher, T., Alia, D., Anderson, C.L., Reynolds, T., Biscaye, P.: Categorizing Small-Scale Producers. Evans School Policy Analysis & Research Group. https://epar.evans.uw.edu/blog/categorizing-small-scale-producers-part-1-defining-problem. Accessed 22 Mar 2023
[5] Cattle Situation Report, April-June 2022
Philippine Statistics Authority. https://psa.gov.ph/content/cattle-situation-report-april-june-2022. Accessed 01 May 2023
[6] Philippine Statistics Authority: Swine Situation Report, October-December 2022. https://psa.gov.ph/livestock-poultry-iprs/swine/inventory. Accessed 09 Mar 2023
[7] Philippine Statistics Authority: Chicken Situation Report, October-December 2022. https://psa.gov.ph/livestock-poultry-iprs/chicken/inventory. Accessed 09 Mar 2023
[8] Philippine Statistics Authority: Cattle Situation Report, October-December 2022. https://psa.gov.ph/livestock-poultry-iprs/cattle/inventory. Accessed 09 Mar 2023
[9] Statista: Livestock and poultry sectors in the Philippines - statistics & facts
Statista. Statista Research Department. https://www.statista.com/topics/7001/livestock-and-poultry-sectors-in-the-philippines/#topicHeader__wrapper. Accessed 09 Mar 2023
[10] Sison, M.: African swine fever decimates Philippine pig stocks - Asia & Pacific. SciDev. https://www.scidev.net/asia-pacific/news/african-swine-fever-decimates-philippine-pig-stocks/. Accessed 09 Mar 2023
[11] Department of Science and Technology: Harmonized National Research and Development Agenda 2022–2028. https://ovcre.uplb.edu.ph/images/pdfs/HNRDA_2022-2028.pdf. Accessed 09 Mar 2023
[12] SDG indicator metadata: United Nations, March 2022. http://www.fao.org/3/ca2813en/CA2813EN.pdf. Accessed 22 Mar 2023
[13] Kraft, M., et al.: Can livestock farming benefit from industry 4.0 technology? Evidence from recent study. Appl. Sci. 12(24), 12844 (2022). https://doi.org/10.3390/APP122412844
[14] Singh, R.: Use of livestock management software in modern livestock farming. Pashudhan Praharee. https://www.pashudhanpraharee.com/use-of-livestock-management-software-in-modern-livestock-farming/. Accessed 09 Mar 2023
[15] Mdoda, L., Mdiya, L.: Factors affecting the using information and communication technologies (ICTs) by livestock farmers in the Eastern Cape province, vol. 8, no. 1 (2022). http://www.editorialmanager.com/cogentsocsci. https://doi.org/10.1080/23311886.2022.2026017
[16] Chai, W., Brush, K., Bigelow, S.J.: What is PaaS? Platform as a Service Definition and Guide. https://www.techtarget.com/searchcloudcomputing/definition/Platform-as-a-Service-PaaS. Accessed 22 Mar 2023
[17] Shiotsu, Y.: What Is a Hybrid App? (Detailed Guide for 2022), Upwork. https://www.upwork.com/resources/hybrid-app. Accessed 22 Mar 2023
[18] Featherston, D.: What’s Difference Between a Data Matrix and a QR Code. Domino North America. https://www.domino-printing.com/en-us/blog/2021/the-difference-between-a-data-matrix-code-and-a-qr-code. Accessed 22 Mar 2023
[19] McMahon, M.: What Is a Centralized Database? EasytechJunkie. https://www.easytechjunkie.com/what-is-a-centralized-database.htm. Accessed 22 Mar 2023
[20] Ujakpa, M.M., Kamati, E., Ngola, S.T.G.A., Sheepo, T.A., Ilonga, J.: The development of a livestock farm management information system (LFMIS). In: 2022 IST-Africa Conference, IST-Africa 2022 (2022). https://doi.org/10.23919/IST-AFRICA56635.2022.9845563
[21] Sinclair, M., Fryer, C., Phillips, C.J.C.: The benefits of improving animal welfare from the perspective of livestock stakeholders across Asia. Animals 9(4) (2019). https://doi.org/10.3390/ANI9040123
[22] www.dost.gov.ph - Downloads - Harmonized National R&D Agenda 2022–2028. https://www.dost.gov.ph/knowledge-resources/downloads/file/5669-harmonized-national-r-d-agenda-2022-2028.html. Accessed 28 Nov 2023
[23] Livestock farm management: University of Minnesota Extension. https://extension.umn.edu/dairy-handling-and-best-practices/livestock-farm-management. Accessed 17 Mar 2023
[24] Singh, R.: Mobile-based Applications for Animal Husbandry Information Dissemination: Transformation Livestock Farming in India – Pashudhan praharee. Pashudhan Praharee. https://www.pashudhanpraharee.com/mobile-based-applications-for-animal-husbandry-information-dissemination-transformation-livestock-farming-in-india/. Accessed 19 Mar 2023
[25] Hwang, J., Jeong, H., Yoe, H.: Design and implementation of smart phone application for effective livestock farm management. In: Communications in Computer and Information Science, CCIS, vol. 338, pp. 285–290 (2012). https://doi.org/10.1007/978-3-642-35251-5_39/COVER
[26] Neethirajan, S., Kemp, B.: Digital livestock farming. Sens. Biosens. Res. 32, 100408 (2021). https://doi.org/10.1016/J.SBSR.2021.100408
[27] Yin, H., et al.: A novel method to predict laying rate based on multiple environment variables. IEEE Access 9, 115488–115496 (2021). https://doi.org/10.1109/ACCESS.2021.3105189
[28] Bonde, A., et al.: Structural vibration sensing to evaluate animal activity on a pig farm. In: DATA 2018 - Proceedings of the 1st Workshop on Data Acquisition To Analysis, Part of SenSys 2018, pp. 25–26, November 2018. https://doi.org/10.1145/3277868.3277881
[29] Guyomard, H., et al.: Review: why and how to regulate animal production and consumption: the case of the European Union. Animal 15 (2021). https://doi.org/10.1016/J.ANIMAL.2021.100283
[30] Neethirajan, S., Kemp, B.: Digital livestock farming. Sens. Biosens. Res. 32 (2021). https://doi.org/10.1016/J.SBSR.2021.100408
[31] Wang, X., Li, J., Chen, H., Li, J.: Development and implementation of counselor work management information system based on MySQL and data center. In: 2021 6th International Conference on Communication and Electronics Systems (ICCES), pp. 1621–1624. IEEE, July 2021. https://doi.org/10.1109/ICCES51350.2021.9488930
[32] Maheshwari, A., Tyagi, P., Tentiwala, A., Uddeshya, Bhasin, S.: QR technology based ID proof for a digitalized world. In: 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 1642–1648. IEEE, May 2022. https://doi.org/10.1109/ICICCS53718.2022.9788126
[33] Shukran, M.A.M., Ishak, M.S., Abdullah, M.N.: Enhancing chemical inventory management in laboratory through a mobile-based QR code tag. IOP Conf. Ser. Mater. Sci. Eng. 226(1), 012093 (2017). https://doi.org/10.1088/1757-899X/226/1/012093
[34] Khodakivska, L.O., Hrybovska, Y.M., Kononenko, Z.A.: Modern innovative technologies in warehouse inventory management. Econ. Horiz. 1(12), 4–14 (2021). https://doi.org/10.31499/2616-5236.1(12).2020.203809
[35] The evolution of data in livestock farming – Proagrica. Proagrica. https://proagrica.com/news/the-evolution-of-data-in-livestock-farming/. Accessed 15 Mar 2023
[36] Costas-Jauregui, V., et al.: Descriptive analytics dashboard for an inclusive learning environment. In: Proceedings - Frontiers in Education Conference, FIE, vol. 2021, October, 2021. https://doi.org/10.1109/FIE49875.2021.9637388
[37] Susnjak, T., Ramaswami, G.S., Mathrani, A.: Learning analytics dashboard: a tool for providing actionable insights to learners. Int. J. Educ. Technol. High. Educ. 19(1) (2022). https://doi.org/10.1186/S41239-021-00313-7
[38] Mwanga, G., Mbega, E., Yonah, Z., Chagunda, M.G.G.: How information communication technology can enhance evidence-based decisions and farm-to-fork animal traceability for livestock farmers. Sci. World J. 2020 (2020). https://doi.org/10.1155/2020/1279569
[39] Fitzgerald, T.: How Data Analytics are Helping Farmers Around the World. Le Chameau. https://www.lechameau.com/blog/how-data-analytics-are-helping-farmers-around-the-world. Accessed 15 Mar 2023
[40] Mouzakitis, S., Tsapelas, G., Pelekis, S., Ntanopoulos, S., Askounis, D.: Investigation of common big data analytics and decision-making requirements across diverse precision agriculture and livestock farming use cases investigation of common big data analytics and decision-making requirements across diverse precision agriculture and livestock farming use cases, p. 10 (2020). https://doi.org/10.1007/978-3-030
[41] How data analytics is transforming agriculture – Proagrica. Proagrica. https://proagrica.com/news/how-data-analytics-is-transforming-agriculture/. Accessed 15 Mar 2023
[42] Toppo, A.: 10 Most Profitable Livestock Farming Business Ideas. Krishi Jagran. https://krishijagran.com/animal-husbandry/10-most-profitable-livestock-farming-business-ideas/. Accessed 16 Mar 2023
[43] Gwelo, F.: How small-scale producers can leverage the growing livestock market. International Fund for Agricultural Development. https://www.ifad.org/en/web/latest/-/livestock-projects-sstc. Accessed 16 Mar 2023
[44] Akhtar, W., Jabbar, A.: Risk management for small farmers in Pakistan: a review. Pak. J. Agric. Sci. 59(2), 247–259 (2022). https://doi.org/10.21162/PAKJAS/22.334
[45] Vanhuyse, F., Bailey, A., Tranter, R.: Management practices and the financial performance of farms. Agric. Finance Rev. 81(3), 415–429 (2021). https://doi.org/10.1108/AFR-08-2020-0126
[46] Adams, F., Ohene-Yankyera, K., Aidoo, R., Wongnaa, C.A.: Economic benefits of livestock management in Ghana. Agric. Food Econ. 9(1) (2021). https://doi.org/10.1186/S40100-021-00191-7
[47] Hayden, M.T., Mattimoe, R., Jack, L.: Sensemaking and financial management in the decision-making process of farmers. J. Account. Organ. Change 18(4), 529–552 (2022). https://doi.org/10.1108/JAOC-11-2020-0186/FULL/PDF
[48] Yamamoto, R., et al.: Classification of fermentation levels of cacao beans (Theobroma cacao L.) using sensing technology and neural networks. In: Nghia, P.T., Thai, V.D., Thuy, N.T., Son, L.H., Huynh, V.N. (eds.) ICTA 2023. LNNS, vol. 847. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-49529-8_16