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A critical evaluation of precision dairy farming technologies and barriers to its adoption

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The management of dairy farming has been historically based on experience and the skills the farm operator has in planning and decisions made. In cases where the farm has large herds, a farming system must be in place, thereby bring an evolution in dairy management, which is datadriven. Precision technologies can bring about increased efficiency and decision making in dairy management. Total farmers that have already adopted the technology is still relatively low, although data shows a growth in the adoption rate. This research seeks to critically evaluate the precision dairy farming technologies in place and the barriers that have caused low adoption of the technology.

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Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br /> <br /> International Journal of Current Microbiology and Applied Sciences<br /> ISSN: 2319-7706 Volume 9 Number 3 (2020)<br /> Journal homepage: http://www.ijcmas.com<br /> <br /> <br /> <br /> Review Article https://doi.org/10.20546/ijcmas.2020.903.037<br /> <br /> A Critical Evaluation of Precision Dairy Farming Technologies and<br /> Barriers to its Adoption<br /> <br /> Naji Awad Ahmed Salem1*, M. I. Alshelmani1 and Almokhtar M. Aljadi2<br /> <br /> 1<br /> Department of Animal Production, Faculty of Agriculture, University of Banghzi,<br /> Benghazi, Libya<br /> 2<br /> Department of Animal Production, Agriculture college, Sebha University, Sebha<br /> <br /> *Corresponding author<br /> <br /> <br /> <br /> <br /> ABSTRACT<br /> <br /> Keywords The management of dairy farming has been historically based on<br /> experience and the skills the farm operator has in planning and decisions<br /> Zoonotic<br /> transmission of made. In cases where the farm has large herds, a farming system must be in<br /> diseases, Dairy place, thereby bring an evolution in dairy management, which is data-<br /> farming driven. Precision technologies can bring about increased efficiency and<br /> technologies<br /> decision making in dairy management. Total farmers that have already<br /> Article Info adopted the technology is still relatively low, although data shows a growth<br /> Accepted: in the adoption rate. This research seeks to critically evaluate the precision<br /> 05 February 2020 dairy farming technologies in place and the barriers that have caused low<br /> Available Online:<br /> 10 March 2020 adoption of the technology.<br /> <br /> reduce over the years due to less<br /> Introduction governmental regulation of the commodity<br /> prices and also the dairy farming operation. A<br /> Precision dairy farming is described as the small efficiency in production may cause a<br /> process through which technologies are used landmark impact on the profit. Therefore, the<br /> for measuring the indicators of a particular growth in competition has caused an<br /> animal which include the behavioural, overemphasis on efficiency, thereby causing a<br /> production and psychological signs. The aim more emphasis on both financial and business<br /> of measuring the signs is to help in management. A change or shift in a dairy<br /> advancement of the Strategies used by the manager’s decision making is seen whereby<br /> management and improvement of the overall more emphasis is being put on the protection<br /> animal performance. The profit margins for of the consumers, foods that are pathogen-<br /> the agricultural commodities continue to free, medical treatments reduction (Bewley,<br /> <br /> 313<br /> Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br /> <br /> <br /> 2010), improved animal care and zoonotic Wearable sensors for the leg, neck or the ear.<br /> transmission of diseases. The shift in the Boluses for the Rumen.<br /> emphasis clearly shows the continued change Subcutaneous implants.<br /> in the management of daily operations. The Online or inline sensors for the milk.<br /> many modifications being experienced is Analysis of videos and face recognition.<br /> because of the tremendous technological Automated feeding and milking systems.<br /> advancements in all the areas of dairy farming<br /> like nutrition, disease control, genetics, and The benefits of precision dairy farming<br /> dairy management.<br /> According to research by (Bewley, 2010), the<br /> Precision farming is termed as the process of following are examples of the potential<br /> using information technologies in assessing benefits of precision farming:<br /> the fine-scale animal and the variations in the<br /> physical resources whose main aim is to An improved level of efficiency.<br /> improve the strategies of management that are A decrease in the operating costs of the farm.<br /> useful in the boost of the economic, An increase in the quality of the products<br /> environmental and social production the produced.<br /> individual farm (Eastwood et al., 2004). Decrease in the adverse impacts of the<br /> Precision farming is termed as the trend environment.<br /> whereby the focus is given to particular dairy Improved overall health and the well-being of<br /> animal by using information technology animals.<br /> (Schulze et al., 2007). Precision dairy farming<br /> has helped to address the development of Precision technologies are presumed to have a<br /> animals, the product system, and behaviours major effect in some areas, which include<br /> of the animal, endemic diseases and the reproduction, quality control and health. An<br /> physical setting of the buildings of dairy increase in the size of the dairy operations in<br /> animals (Wathes et al., 2008). Technologies any farm makes technology be the best option<br /> typically applied in precision dairy farming due to reduced reliance on skilled labour and<br /> leads to the decrease of the skilled labour its ability to use economies of scale<br /> during the handling of animals, thereby technology. Technologies in precision<br /> making it possible for accomplishing more farming enable the farmers to make proper<br /> work using much fewer labourers. decisions which directly results in improved<br /> Application of technologies in precision productivity and profitability of the farm. By<br /> farming in the dairy animal’s observation is of use of real-time data, monitoring can be<br /> great use as far as the technologies in use can achieved through the creation of reports<br /> monitor parameters, is reliable in observation identifying the deviations (Bewley, 2010).<br /> of animal behaviours and can do an accurate Information from the technologies in<br /> description of behaviours by use of secure precision farming is critical as far as there are<br /> algorithms (Berckmans, 2006). Therefore, the effective utilisation and interpretation during<br /> effectiveness of work-routine is improved if the making of the farm decisions. The farm<br /> the technology in place is much more reliable management should make use of<br /> than the replaced skilled labour. computerised information systems to help in<br /> the understanding of the enormous figures<br /> The leading technologies in precision include from the farming technologies. Consequently,<br /> (Endres, 2019): the information in place is incorporated into a<br /> system that supports decision making to assist<br /> <br /> 314<br /> Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br /> <br /> <br /> in making decisions that need many data which include: increased welfare of the<br /> sources compiled. animals, increased productivity of the animals<br /> and the reduction of labour costs. European<br /> Initially, farmers made use of experience and Union has funded many pieces of research on<br /> judging to help in the identification of the effects posed by robotic milking on the<br /> outlying animals. The historical method of health and the well-fare of animals in dairy<br /> judging and expertise cannot be entirely farming and also dairy animal productivity.<br /> eliminated by the technologies and forms Some governments and NGOs have raised<br /> invaluable skills in dairy products, but it has concerns that welfare can compromise<br /> many drawbacks due to cow’s condition technology in some circumstances. The<br /> perception of the human being. By the time NGOs recommend that husbandry practices<br /> the human being can clearly identify the require to be incorporated so that the welfare<br /> stresses and illnesses in an animal, the standards are maintained.<br /> condition may be more advanced for any<br /> intervention. The observable illness/stress Automatic calf Feeders system<br /> signs are typically followed by physiological<br /> processes that cannot be seen by a human eye Automated calves feeding systems that are<br /> like the change in heart rate and changes in controlled by a computer have a sharp<br /> temperature. There are technologies in place increase in the demand hence saving on<br /> that are used in monitoring the physiological labour. The automatic calf feeding system is<br /> processes of dairy animals that are necessary made up of a stand-alone unit that has the<br /> to supplement the observable signs of the capability for water heating and dispensing<br /> farmer (Whitford and Klimley, 2019). powdered milk quantity that has already been<br /> set and mixes the powder. The mixture is then<br /> Technologies in precision dairy farming transferred to a cylinder from where the calf<br /> is fed via a teat (Fujiwara et al., 2014 and<br /> Robotic milking Soberon et al., 2012). The feeding system of a<br /> calf has the ability to feed groups of calves<br /> Robotic/automatic milking machines have where the first seven days, the calf is supplied<br /> gained popularity globally. The milking using the bottle to enable it to familiarise with<br /> systems frequently conduct milking the feeding system. Using automatic feeding<br /> automatically without any human intervention system, optimum development and growth of<br /> (Butler, Hollaway and Bear, 2012). Animals the calves is guaranteed.<br /> in dairy farming are the ones that choose<br /> when to be milked, and they enter the robot The system ensures that the calves can enjoy<br /> and get milked at any time of the day. a natural feeding rhythm by drinking milk<br /> Therefore, milking system in robotic is whenever they feel like in a controlled way at<br /> understood to increase the farms level of the same time reducing the total employees.<br /> production and is also beneficial for the health Whenever the calf enters a feeding station, the<br /> and welfare of the animals. According to a tag placed at calf’s ear is scanned by a<br /> research, in the UK there were about 50 receiver antenna placed on the station and a<br /> robotic milking machines in use in 2003, in recipe is prepared to depend on the calf’s age.<br /> 2008 the study also established that the figure When a calf is allowed to feed, the system<br /> for the robotic devices increased to 350 makes the powdered milk as per the specified<br /> (Gibson, 2011). Robotic milking is believed formula. The main benefits of automatic<br /> to have many advantages to farmworkers feeding include (Ionescu, 2016):<br /> <br /> 315<br /> Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br /> <br /> <br /> industries globally despite research<br /> Increased rate of growth for the calves. demonstrating increased productivity. In dairy<br /> It ensures that the rumen develops well. production, the indicators that require to be<br /> Helps in ensuring individual calf management. monitored are biological and vary and<br /> Helps ensuring that proper milk temperature sometimes very unpredictable. Therefore, a<br /> for calves is maintained. sound system must be capable of continuous<br /> Ensures a flexible feeding schedule. surveillance and have the capabilities of<br /> Low maintenances are thereby reducing the quantifying the behaviours automatically. In<br /> operating costs. making technological decisions, the conduct<br /> of the technology and economic benefits<br /> Cow behaviour sensors plays a significant role. Adoption of<br /> technology has been seen where the level of<br /> To understand animal’s nutrition, health, profitability is high, high yield, and there is<br /> well-being and production, animal behaviours cost are reduction (Russell and Bewley,<br /> must be monitored. Animals’ monitoring is 2013). Also, technologies are adopted where<br /> increasingly becoming an essential practice there is low availability of labour or the<br /> (Mattachini et al., 2016). labour available is expensive (Steeneveld et<br /> al., 2012).<br /> Some daily patterns of eating and rumination<br /> are believed to be related closely to the health Dairy producers are required to select a<br /> and animals’ productivity. technology that matches their production<br /> needs. Therefore, many choices exist on the<br /> Traditionally, the feeding behaviour used to dairy technologies that can be applied by the<br /> be determined using methods such as direct producers. Difficulties exist in making a<br /> observation and recording of a time-lapse choice for the technology to make use of<br /> video (Overton et al., 2002). The traditional since many farmers are not aware of the<br /> methods used to consume a lot of time and are techniques available (Russel and Bewley,<br /> also labour intensive, thereby limiting their 2013). The available technologies have<br /> application over long periods and where there capabilities of monitoring animal activity,<br /> are many animals. Currently, new methods temperature, rumination, resting time and all<br /> are developed to help in the assessment of the animals’ well-being (DeVries, 2018).<br /> behavioural activities using automatic Despite the existence of many technologies,<br /> recording techniques. their adoption has remained relatively low.<br /> The perceptions of the farmers need to be<br /> The automated techniques are used for improved for increased adoption of precision<br /> measuring the animal feeding behaviours and dairy farming technologies. The current<br /> feed intake. The method ensures that feeding trends under precision farming, the dairy<br /> behaviours are accurately quantified. The farmers are the users of the technologies, but<br /> system also makes it efficient in the control they excluded during technology<br /> and assessment of dairy farms. development. Considering farmer's exclusion,<br /> the result is the growth of several<br /> Barriers to the adoption of precision dairy technologies that are not addressing the needs<br /> farming of the farmers leading to low adoption rate.<br /> For example, in United States, total dairy<br /> Livestock production control and monitoring farms have continued to decrease, but the<br /> are underdeveloped as compared to other existing farms continue to increase in size and<br /> <br /> 316<br /> Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br /> <br /> <br /> small firms exit dairy farming (Hadley et al., ensure that an analysis is conducted to assess<br /> 2002). if it addresses the needs of the farm.<br /> <br /> Some of the well-known precision dairy References<br /> farming technologies include the automatic<br /> milking machine that was implemented first Automatic on-line monitoring of animals by<br /> in the Netherlands (Bijl, Kooistra&Hogeveen, precision livestock farming,”. Livestock<br /> 2007). The reason behind the differences in production and society, pp. 287–287,<br /> the adoption rate of the technologies is 2006.<br /> primarily caused by average employee wages. Bijl, R., S. Kooistra, and H. Hogeveen, “The<br /> For example, in United States of America, the Profitability of Automatic Milking on<br /> average employee wage is estimated to be Dutch Dairy Farms,” Journal of Dairy<br /> $17.58 (MacDonald, 2007) while the average Science, vol. 90, no. 1, pp. 239–248,<br /> employee wages in the Netherlands where 2007.<br /> there is a high rate of precision dairy farming Devries, T. “507 Challenges and opportunities<br /> adoption is estimated to be $24.13 (Huijps et in precision health monitoring of dairy<br /> al., 2008). The data above clearly shows that cattle.,” Journal of Animal Science, vol.<br /> due to labour in the USA being less 96, no. suppl_3, pp. 502–502, 2018.<br /> expensive, farmers in dairy farming have a Fujiwara, M., J. Rushen, and A. M. D.<br /> low incorporate rate of precision dairy Passillé, “Dairy calves’ adaptation to<br /> farming technologies. group housing with automated feeders,”<br /> Applied Animal Behaviour Science, vol.<br /> In conclusion, precision dairy farming 158, pp. 1–7, 2014.<br /> technologies are still in the early stage, Hadley, G., S. Harsh, and C. Wolf,<br /> although there are new technologies “Managerial and Financial Implications<br /> introduced in the market annually. There are of Major Dairy Farm Expansions in<br /> several technologies under precision dairy Michigan and Wisconsin,” Journal of<br /> farming like the sensors, automatic feeding Dairy Science, vol. 85, no. 8, pp. 2053–<br /> systems and robotic milking systems. 2064, 2002.<br /> Precision dairy farming has many benefits to Ionescu, V., “Fetal ECG Extraction from<br /> the farmers in that it helps to increase Multichannel Abdominal ECG<br /> efficiency, reduction of costs, improving the Recordings for Health Monitoring<br /> product quality and improvement of animals’ During Labor,” Procedia Technology,<br /> well-being. Technologies under precision vol. 22, pp. 682–689, 2016.<br /> dairy farming are believed to have significant Mattachini, G., E. Riva, F. Perazzolo, E.<br /> effects in areas such as reproduction, quality Naldi, and G. Provolo, “Monitoring<br /> control and health. There still exist many feeding behaviour of dairy cows using<br /> barriers towards the adoption of precision accelerometers,” Journal of<br /> dairy farming that must be addressed for the Agricultural Engineering, vol. 47, no. 1,<br /> full approval of the technologies. One of the p. 54, Aug. 2016.<br /> main obstacles is cheap labour resulting in Overton, M., W. Sischo, G. Temple, and D.<br /> farmers preferring to use labour in place of Moore, “Using Time-Lapse Video<br /> technology adoption. Photography to Assess Dairy Cattle<br /> Lying Behavior in a Free-Stall Barn,”<br /> Therefore, before the farmer decides to Journal of Dairy Science, vol. 85, no. 9,<br /> finance new technology, the farmer should pp. 2407–2413, 2002.<br /> <br /> 317<br /> Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br /> <br /> <br /> Precision Dairy Farming-taking the 793, 2012.<br /> microscope to dairy farm Steeneveld, W., L. Tauer, H. Hogeveen, and<br /> management.,” 2004. A. O. Lansink, “Comparing technical<br /> The impact of technological change in dairy efficiency of farms with an automatic<br /> farming: robotic milking systems and milking system and a conventional<br /> the changing role of the stockperson,”. milking system,” Journal of Dairy<br /> Royal Agricultural Society of England, Science, vol. 95, no. 12, pp. 7391–7398,<br /> p. 173, 2012. 2012.<br /> The first North American Conference on “The future of precision dairy farming,” UMN<br /> Precision Dairy Management,” in the Extension, 2019. [Online]. Available:<br /> first North American Conference on https://extension.umn.edu/dairy-<br /> Precision Dairy Management, 2010. news/future-precision-dairy-farming.<br /> Russell, R. and J. Bewley, “Characterization [Accessed: 10-Feb-2020].<br /> of Kentucky dairy producer decision- Wathes, C., H. Kristensen, J.-M.Aerts, and D.<br /> making behavior,” Journal of Dairy Berckmans, “Is precision livestock<br /> Science, vol. 96, no. 7, pp. 4751–4758, farming an engineers daydream or<br /> 2013. nightmare, an animals friend or foe, and<br /> Schulze, C., J. Spilke, and W. Lehner, “Data a farmers panacea or pitfall?,”<br /> modeling for Precision Dairy Farming Computers and Electronics in<br /> within the competitive field of Agriculture, vol. 64, no. 1, pp. 2–10,<br /> operational and analytical tasks,” 2008.<br /> Computers and Electronics in Whitford, M. and A. P. Klimley, “An<br /> Agriculture, vol. 59, no. 1-2, pp. 39–55, overview of behavioral, physiological,<br /> 2007. and environmental sensors used in<br /> Soberon, F., E. Raffrenato, R. Everett, and M. animal biotelemetry and biologging<br /> V. Amburgh, “Preweaning milk studies,” Animal Biotelemetry, vol. 7,<br /> replacer intake and effects on long-term no. 1, 2019.<br /> productivity of dairy calves,” Journal of<br /> Dairy Science, vol. 95, no. 2, pp. 783–<br /> <br /> How to cite this article:<br /> <br /> Naji Awad Ahmed Salem, M. I. Alshelmani and Almokhtar M. Aljadi. 2020. A Critical<br /> Evaluation of Precision Dairy Farming Technologies and Barriers to its Adoption.<br /> Int.J.Curr.Microbiol.App.Sci. 9(03): 313-318. doi: https://doi.org/10.20546/ijcmas.2020.903.037<br /> <br /> <br /> <br /> <br /> 318<br />
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