Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br />
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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 />
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<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 />
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*Corresponding author<br />
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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 />
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Int.J.Curr.Microbiol.App.Sci (2020) 9(3): 313-318<br />
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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 />
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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 />
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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 />
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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 />
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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 />
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