PRECISION DAIRY FARMING (PDF) : A NEW CONCEPT IN DAIRY FARMING PRACTICES IN DIGITAL INDIA

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PRECISION DAIRY FARMING (PDF) : A NEW CONCEPT IN DAIRY FARMING PRACTICES IN DIGITAL INDIA

DR. RAVINDER SINGH BAGGA, DAIRY CONSULTANT,PUNE

What is precision dairy farming (PDF)?

According to Schulze et al. a PDF system is constructed of the following components: a sensor that generates data, a model that gives a physiological interpretation of the data, a management decision making process and finally decision execution. The PDF systems can be divided into two categories: those used for diagnostic and those used for management and the same sensor can serve both categories. Bewley (2010) described PDF as ‘the use of technologies to measure physiological, behavioural, and production indicators on individual animals to improve management strategies and farm performance’. He also states that the objectives are to maximize individual animal potential while facilitating early disease detection and minimizing medication use. Eastwood et al (2012) defined Precision Dairy Farming as “the use of information technologies for assessment of finescale animal and physical resource variability aimed at improved management strategies for optimizing economic, social and environmental farm performance”. The main objectives of Precision Dairy Farming are maximizing individual animal potential, early detection of disease, and minimizing the use of medication through preventive health measures. Technology in dairy sector is playing a huge role in producing high yields and it is making cows happy and healthier. Be it boosting the production of milk or monitoring the herds by embracing the digital trends dairy farmers are making a great business throughout the world. However, in India, it is expected that digitalization will cover the most complex regions of dairy farming to offer seamless profits by overcoming the Indian dairy business difficulties and framework. Using technologies to monitor farm animals is useful as long as technologies continuously monitor parameters, reliably observe behaviors, and accurately describe behaviors with reliable algorithms . Making improvements in work-routine efficiency reduces time required to complete a task, employee stress, and provides the operators time to focus on other areas . This contrasts traditional dairy production systems where product quality depends almost entirely on the skill, experience, and subjective assessments of the individual producer or worker  . Technology adoption can improve or maintain animal welfare on dairy farms and help to improve public perception by demonstrating the dairy community’s commitment to developing welfare improvement strategies . In addition to improving public perception of cattle welfare, technologies accurately monitor individual animals and farms, which can increase animal production efficiency and decrease the environmental impact of livestock production, thereby also improving public perception .

Since the period of second white revolution, India in the sector of dairying has tremendously progressed. Dairy has always been a subsidiary sector which augmented not only farmers income but also it helped in satisfying the basic nutritional requirement. Therefore bringing technological advancement in dairy sector is a much needed approach. Agriculture sector was always in a purview of bring brought under new technology just as in case of green revolution that was highly mechanized. This led to the era of genetic modifications inorder to increase the yield of the crops. This yield further increased when more intense modern technology was used. Precision farming was such similar approach. It included monitoring crops through use of satellite and aerial imagery, weather prediction, variable rate fertilizer application, and crop health indicators and also aggregate the machine data for even more precise planting, topographical mapping, and soil data. Now the question arises how to implement these technology in dairy sector which was equally important. Researchers had already documented that performance of animals can be improved through proper monitoring and evaluation. There comes the role of decision support system. Precision dairy farming involves the use of technologies to measure physiological, behavioral, and production indicators on individual animals. Its main objective underlines maximizing individual animal potential, early detection of disease, and minimizing the use of medication through preventive health measures.

Globally around 150 million households are engaged in dairy farming with a production of approximately 860 million tonnes of milk. India is the world’s highest milk-producing country with the production of about 187.75 million tonnes of milk which accounts for over 21% of the world milk production. Milk production in the Kashmir Valley has grown over 250% during the last two decades. There are more than 4.70 lac households and household enterprises owning dairy cattle both in rural and urban areas, with the annual milk production of 1.30 million tones, with the per capita availability of more than 490 gm per day (National per capita availability is 394 gm per day). Dairying is one of the most important means of providing livelihood and nutritional security to the masses.

The demand for milk and milk products is increasing, but at the same time the number of dairy farmers is decreasing. As a result, the size of dairy farms and the number of dairy animals on them will continue to increase and there is less time available to attend to individual animals, which makes it more difficult to monitor and manage the animals properly. Dairy farming is a decision-intensive enterprise on a daily basis, which must rely on holistic approach to maintain a profitable system that is accountable to consumers for well-being, environmental impacts, and product quality. With the implementation of prestigious flag-ship UT sector schemes, viz., Integrated Dairy Development Scheme (IDDS), Dairy Development Scheme (DDS), Feed & Fodder Development Scheme (F&FDS), etc dairying with high yielding crossbred cattle is receiving an emphasis which has created employment avenues, led to entrepreneurship development and thereby generated ample scope for developing the dairy farming on commercial lines as a business enterprise.

Now, dairy farming from being traditional family run way of life has grown to an organized dairy industry with technological innovations in feeding, housing, breeding and healthcare management. Precision dairy farming technologies which aim at all such aspects, therefore, offer a great promise for the future development of dairy farming in India as well as in Union Territory of Jammu & Kashmir. These changing demographics reflect a continuing change in the way in which dairy operations are managed. The ‘Precision Dairy Farming’ can offer a new ‘technological marvel’ in dairying in coming scenario. Precision Farming refers to the use of technologies that makes farmers less dependent on human labour, supports them in their (daily) management and helps them to improve their farm profitability.

Dairy farming  from being “traditional family run businesses” today, has grown hugely to an organized dairy industry with technological specializations in every part of the process. Precision dairy farming is the use of automated mechanized technologies towards refinement of dairy management processes, procedures or information collection: Farmers and cows alike have reaped a lot of benefits from the automation of dairy farming Precision dairy farming in many developing countries including India is in its infancy but there are tremendous opportunities for improvements in india.

 Key features of precision dairy farming:

  1. Use of modern technology to monitor.
  2. Early detection of diseases and other health problems in animals.
  3. Helps farmers to take timely and correct decision regarding the maintenance of herd.
  4. Minimize medication through preventive health.
  5. Less use of inputs like labour which can be diverted to other uses.
  6. Optimization of use of resources and maximizing profits.

Major Benefits:

  • Reduced costs.
  • Increased efficiency.
  • Minimized environmental effect
  • Risk management and risk analysis.
  • Data collection and research opprtunities

Examples of precision dairy farming technologies include milk yield recording systems, milk component monitors, activity monitors, lying and rumination behavior monitors, milk conductivity indicators, and heat detection monitors, body weight, temperature, stress level analysis, etc. By proper processing of these data in combination with decision support systems, the application of these sensors improves animal monitoring and decision-making. Thus productivity of animals can be improved.

Invidual animal and herd management on dairy farms

Precision dairy farming technology use

Modern dairy farming is constantly searching for new innovations and the latest can boost milk yields, enhance milk quality and reduce the costs associated with producing the white stuff. There are certain aspects of farm management which if handled through technology can reduce costs and make operations efficient. Some amazing gadgets used by some dairy farmers across the world, for making a profitable business. Dairy farmers use many precision technologies to monitor many parameters pertaining to their cattle and operations. Parameters monitored by these technologies include daily milk yield, milk components, step number, temperature (in various places and forms on and within the cow), milk conductivity, automatic estrus detection monitors, and daily body weight measurements . In addition to the parameters already monitored, many other parameters have also been proposed such as jaw movements, ruminal pH, reticular contractions, heart rate, animal positioning and activity, vaginal mucus electrical resistance, feeding behavior, lying behavior, odor, glucose, acoustics, progesterone, individual milk components, color (as an indicator of cleanliness), infrared udder surface temperatures, and respiration rates. Dairy producers with the lowest costs tend to be those implementing innovative management techniques and technologies

Ideal PDF technology :

  • Explains an underlying biological process
  • Can be translated to a meaningful action
  • Low-cost
  • Flexible, robust, reliable
  • Information readily available to farmer
  • Farmer involved as a co-developer at all stages of development, not just beta-testing
  • Commercial demonstrations
  • Continuous improvement and feedback loops.

 Currently used technologies in precision dairy farming

The list of precision dairy farming technologies used for animal status monitoring and management continues to grow. Because of rapid development of new technologies and supporting applications, precision dairy farming technologies are increasingly more feasible. Many precision dairy farming technologies are already being utilized by dairy producers are: Electronic (radio frequency) identification systems and associated management software, Automatic body condition scoring, Automatic recording devices (rumen temperature, pressure, pH) by electronic rumen bolus, Robotic milking systems – daily milk yield recording, milk component monitoring (such as fat, protein and SCC), daily body weight gain measurement, Robotic calf-feeding systems, Pedometers for heat detection, for health monitoring i.e. measuring lying time and standing bouts, Milk analyzer, Parturition sensors, Milk conductivity indicators.

READ MORE :  Body Condition Scoring (BCS) In farm Animals

Location of engineered devices for in situ data collection in a cow:

(1) ear tag (2) halter (3) neck collar with counterweight (4) reticulo-rumen bolus (in reticulum) (5) rear leg pedometer (6) upper tail ring (7) tail head inject (8) vaginal bolus . Other theoretical precision dairy farming technologies have been proposed to measure jaw movements, reticular contractions, heart rate, animal positioning and activity (to compare low activity to high activity where low activity may indicate a sick cow or a cow lying down), vaginal mucus electrical resistance, feeding behavior, odour, glucose, acoustics, progesterone, individual milk components, colour (as an indicator of cleanliness) and respiration rates. Further in the future the remote sensing of cow condition, GPS based cow tracking in fenceless farms may be included in commercially available precision dairying technologies. Some of these technologies are discussed as follows:

Electronic (radio frequency) identification systems:

Electronic identification (EID) systems have provided a technological approach to the previously intuitive process of individual cow management. In 2000 the National Livestock Identification Scheme (NLIS) made the use of radio-frequency identification (RFID) tags, these tags contains a microchip that can be read electronically in a fraction of a second by producers who have a suitable reader. Electronic identification systems provide accurate identification of cows and linked to pedigree, management events, treatment records, electronic milk meters, computer controlled feeding, automatic sorting and weighing, etc. Radiofrequency tags can be used to record animal events such as heat detection, treatments, calving interval, sire selection, etc. This can result in increased production and profitability by allowing better management of an individual cow’s performance through the analysis of the collected data.

Automatic body condition scoring Body condition scoring (BCS) is a method to evaluate fatness or thinness in cows that can be utilized to adjust dairy herd nutrition and improve the health of the cow. It is usually determined visually and manually by experienced experts to calculate body reserves and conducting body condition scoring and evaluate each animal. Roche et al 2009  stressed out the significance of body condition score for animal. Automated Body Condition Scoring (BCS) through extraction of information from digital images has been demonstrated to be feasible; and commercial technologies are under development. Ferguson et al. 2006  assessed the ability to assign a BCS to a dairy cow directly from digital photographs. Automatic recording devices (rumen temperature, pressure, pH) Determination of ruminal pH, temperature and pressure in animals can be crucial to suppress the occurrence of health problems such as sub-acute rumen acidosis and bloat. Owen et al. 1998  reported that rumen acidosis is a serious problem in dairy and feed-lot sectors, resulting in animal deaths, morbidity and diminished productivity. a. Rumen temperature: Technology is being developed to continuously monitor intra-ruminal parameters such as temperature and pH. Al-Zahal et al. 2008  reported that the relationship between rumen temperature and rumen pH may be an indicator in the diagnosis of SARA (Sub Acute Rumen Acidosis). A bolus containing a mote (temperature sensor, processor and radio) was placed in the rumen of a fistulated cow to monitor body temperature. Rumen temperature was measured every minute and stored in the internal buffer of the mote. b. Rumen pressure: Rumen motility can be assessed by measuring changes in rumen pressure. Thus rumen pressure can be used to determine bloat in ruminants. There is not a lot of rumen pressure data for cattle. Therefore, the boluses would be a very useful tool for assessing the relationship between rumen pressures on bloat in cattle. c. Rumen pH: Several important factors such as average ruminal pH, the pattern of ruminal pH over time, duration of suboptimal ruminal pH and the variation in the pattern of ruminal pH can be processed by artificial intelligence or other advanced computational programs to evaluate the significance of ruminal acidosis in cattle performance as well as in defining the relations between intake and acidosis. Monitoring ruminal fluid pH is a reliable method to determine acute acidosis or SARA. For research monitoring of rumen pH, a permanent device in the rumen is required to continuously monitor rumen pH remotely without interfering with the normal behavior of the animal.

Currently available engineered devices for monitoring rumen function (all rumen bolus applications) are

  1. eCow Devon (Exeter, UK)
  2. San’Phone, Medria (Chateaubourg, FR)
  3. Well Cow (Roslin, Midlothian, UK)
  4. SmaXtec pH & Temp Sensor, SmaXtec Animal Care (Graz, AT) Robotic milking:

Milking robot is a part of automatic milking system, having a sensor system to locate the position of the teats and a manipulator to attach the milking unit to the teat.

Sensor systems for milking robots by identified several distinct sensing tasks Artmann, 1997 :

  • Animal identification
  1. Teat location

iii. Monitoring Automatic Milking System functions.

  1. Ensuring proper machine function
  2. Protecting people and animals from injury
    • Measuring milk quantity and composition
    • Monitoring other aspects of Animal health Advantages of robotic milking
    • Milking by using robots has various advantages like:
    • Economic benefit: Labor flexibility and not needing to manage hired labor were the biggest advantages reported by current users of robotic milkers.
    • Increased milking frequency: Milking frequency may increase to three times per day, however typically 2.5 times per day is achieved. This may result in less stress on the udder and increased comfort for the cow, as on average less milk is stored. Higher frequency milking increases milk yield per cow.
    • Management benefit: Management of the herd can be made more efficient. For a farmer who’s never managed his cows properly the robot computer will force him to do so. It tells him about blood in the milk, conductivity, and yield per quarter.
    • Cow health and welfare benefits: Producers reported an improvement in cow health and a reduction in instances of mastitis following the transition to robotic milking. This was attributed to less stress on the cows and to have better access to information on their cows. Robotic calf feeding: Robotic calf feeding system consists of the following four parts:
    • The calf feeder unit that mixes milk replacer with water
    • The processor for controlling the feeder and data processing
    • The transponder around the neck of the calf for identification
    • The milk feeding stall where the calf drinks the milk.
    • Automatic calf feeders consist of a self-contained unit that heats the water, dispenses a programmed amount of milk replacer, and mixes the milk replacer and water in a container from which the calf can suck it out via a nipple feeding station. Each calf as identified by their EID. Calves start robotic feeding on day 10. It requires one day training them to use the feed stall. They stay there until they are weaned at approximately 45 days. Initially, each calf on the robotic feeder gets about 6 quarts of milk. That is increased to 9.5 quarts by 35 days. The feedings are spread out over the course of each day. The system only allows calves to be fed milk up to five times each day. Advantages are that calves are fed large amounts of milk replacer and so they gain weight rapidly. Their calves double their weight in 45 days.

Pedometer for estrus detection Estrus behavior in dairy cattle is accompanied by increase in physical activity. Kiddy was the first to use leg mounted pedometers to determine whether physical activity related to estrous varied enough compared with non-estrual animal Parturition sensors:

Sensors fixed on pregnant animal – Vaginal temperatures (VT) of cows were collected by a datalogging apparatus with a thermocouple sensor.

  • Sense the change in body temperature – useful to save work and trouble at perinatal parturition of cattle. • Predicting the onset of parturition is an important requirement and enables the rescue of newborn calves and mothers in difficult birthing situations.
  • It has long been known that body temperatures decrease prior to parturition in cattle. Currently available engineered devices for monitoring calving behaviour are:
  1. Vel’Phone, Medria (Châteaubourg, FR): Vaginal temperature
  2. iVET birth-monitoring (Papenburg, DE): Vaginal temperature
  3. Moocall (Dublin, IE): Tail ring Potential benefits of precision dairy farming Benefits of Precision Dairy Farming technologies are increased efficiency, reduced costs, improved product quality, minimized adverse environmental impacts, and improved animal health and well-being. These technologies are likely to have the greatest impact in the areas of health, reproduction, and quality control. Benefits realized from summarizing data and reporting exceptions are anticipated to be higher for larger herds, where individual animal observation is more challenging and less likely to occur. A Precision Dairy Farming technology allows dairy producers to make more timely and informed decisions, resulting in improved productivity and profitability. Real time data can be used to monitor animals and create exception reports to identify meaningful deviations from the normal pattern. In many cases, dairy management and control activities can be automated. Alternatively, output from the system may provide a recommendation for the manager to interpret. which will be a useful method for estrous detection in dairy farming. Comparison among various statistical procedures that use pedeometry data in lactating dairy cows indicate that 70% of estrous period and 99% of non-estrual periods can be accurately predicted using currently available pedeometry systems. Lehrer et al. 1992 reported efficiency of visual observation at 45% and for pedometers at 78% to 96%. Currently available engineered devices for monitoring oestrus are as below. Dairy farm tech startups From sensors and software to biotechnology, some dairy tech startups are working to improve safety and efficiency on the world’s dairy farms.
  4. Advanced animal diagnostics – US: Develops tools to diagnose livestock disease on the farm. The North Carolinabased company aims to help cut back on the number of antibiotics administered to livestock on farms. The technology uses the animal’s immune system response to identify and determine the stage of infections, offering an alternative to blanket preventative antibiotic-administration, which is increasingly blamed for growing antibiotic resistance, while also saving traditional testing time and expense.
  5. Cainthus (Ireland): It is an Irish startup focused on using computer vision and predictive imaging analysis to monitor the health and well-being of livestock. Cainthus uses various types of imaging equipment to monitor livestock operations while artificial intelligence and custom algorithms detect behavior in individual animals to monitor their health and alert the user when an action is required. The Cainthus system is able to detect food and water intake in individual animals as well as when the animals are in heat.
  6. Connecterra (The Netherlands): It is a Dutch animal health monitoring technology company that manufactures wearable devices for dairy cows to monitor their health in real-time using machine learning and sensor technology. Dairy wearables are nothing new as cows have been wearing pedometers for at least 20 years. But the devices on the market today and previously, have been hardware technologies for the most part. In order to make use of the information coming from them, farmers and their advisors have had to analyze the data themselves. Connecterra is hoping to remove that burden using machine learning to interpret the data for the farmer, in the cloud.
  7. Consumer physics (Israel): Cargill Animal Nutrition is collaborating with Israeli startup Consumer Physics over a new technology platform for US dairy producers called Reveal. Reveal combines Consumer Physics’ SCiO, a small handheld Near-Infrared (NIR) spectrometer, with Cargill’s forage lab analysis platform, to provide dairy farmers with real-time analysis of their corn silage, haylage and dry hay on the farm to understand its content. This can help farmers to improve the diet of their herd and improve feeding efficiency.
  8. Epi Biome (US): offers bacteriophage therapy, a macromolecular bacterial virus with a bullish disposition that seeks out and destroys specific strains of bacteria. Its platform can produce phage cocktails to treat mastitis in cows. Bovine mastitis, which infects cows’ udders and renders their milk unfit for human consumption, is the primary reason to administer antibiotics in today’s livestock industry. EpiBiome is developing alternatives to small-molecule antibiotics. The ultimate phage cocktail could be administered directly into the udder using a syringe.
  9. Mastiline (Netherlands): develops and manufactures sensors and an automated monitoring system to detect the early signs of mastitis. The startup’s sensors enable dairy farmers to detect mastitis at a subclinical level before visible signs of the disease manifest. It does so by detecting somatic cell counts, which indicate whether mastitis is present. The technology allows dairy farmers to reduce costs as a result of mastitis prevention, reduce the use of antibiotics, increase overall herd yield, and get better pricing for good quality milk with a low somatic cell count.
  10. Silent herdsman (Israel): It has developed a neck-collar monitoring system used to detect estrus and health problems in dairy cows. The device, which is currently used in hundreds of dairy farms throughout Europe, is intended to help dairy farmers spend less time visually observing their herd and more time taking proactive steps to treat emerging problems. To maintain milk production, dairy cows must be bred regularly. Determining when the cow is ready to breed or whether health problems have arisen that might impact her breeding capability is critical to keeping operations flowing smoothly. Israeli dairy farm management technology provider Afi milk acquired Silent Herdsman in 2016.
  11. Stell Apps (India): offers data collection and analytics to every piece of the dairy supply chain with the aim of improving the productivity, and quality of milk, and producing transparent data both for and about the Indian dairy industry. The full stack includes 26 different sensors across the chain. On the farms, wearable devices collect animal specific data from the cows and buffalos. At the dairy collection sites, quality analysis sensors measure fat content to assess the quality of the milk to help with pricing. These records are sent automatically to the dairy company’s headquarters and the farmer’s phone via SMS — quantifying the quality of milk removes the guesswork and variability out of pricing. In the cold chain, sensors monitor the conditions to give dairy collection companies more control over the quality of their product and enable to produce more transparent information for their end customer. Stell Apps is backed by Blume Ventures, Binny Bansal, cofounder of Flipkart, Venture Highway and India-focused agtech VC Omnivore Partners.
  12. TL Biolabs (US): offers 15 genomic tests for beef and dairy cattle, and the software needed to analyze the results. The company’s microarray testing is designed to help farmers predict every heritable trait in cattle from birth including health, productivity, and fertility. This can enable them to make more data-driven breeding and farm management decisions, such as which calves to keep or sell, and which bulls to breed with which cows. Current status of precision dairy farming Despite widespread availability, adoption of these technologies in the dairy industry has been relatively slow. The majority of information management systems available and utilized by many dairy producers have analytical capabilities that are underutilized. In practicality, their use is often limited to creating production tables, attention lists, and working schedules. Perceived economic returns from investing in a new technology are likely the main factor influencing Precision Dairy Farming technology adoption. Additional factors impacting technology adoption include degree of impact on resources used in the production process, level of management needed to implement the technology, risk associated with the technology, institutional constraints, producer goals and motivations, and having an interest in a specific technology. The most progressive producers will adopt those new technologies that appear to be profitable. In India, the future of dairy farming with the help of technology is quite bright. Government is encouraging dairy farmers to use technology in their process. Dairy tech startups has coming up with advanced technologies which will help the Indian Dairy farmers with the three step solution viz; going into rural communities through fully equipped mobile vans, leveraging data analytics through an app to offer demand-led-extension training to farmers and developing rural youth and women as village entrepreneurs. Hundreds of thousands of Indian cows are constantly transmitting information about their health directly to their farmers. These sensors deliver an array of information, including news of pregnancy, vaccination reminders, and even diet-change recommendations. Dairy officials can access the records through their Smartphone and act accordingly. If applied widely, this technology could considerably improve India’s dairy farming practices and productivity. Setting up a network of internet of things (IoT) sensors that monitors health and fertility-related issues will improve cattle management, with technology helping to identify health deficits and ensure early treatment, besides navigating dry periods when cows don’t lactate. Technologies for physiological monitoring of dairy cows have great potential to supplement the observations of skilled herd’s persons, which is especially critical as more cows are managed by fewer skilled workers.
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 Potential Limitations

  1. Information obtained from precision dairy farming technologies is only useful if it is interpreted and used effectively in decision making.
  2. Slow adoption rate due to uncertain return on investment, high fixed costs of investment and information acquisition.
  3. Animal ID may sometime read errors.
  4. Equipment failure may occur because often they are sophisticated to handle, low temporal resolution, and require good visibility of the subjects.
  5. Data transfer error may be due to over-supply of data, and the time-consuming handling of software programme.
  6. Lack of validated research results concerning the effects of application, high capital input and high costs.
  7. Applicable to a restricted spatial area Conclusion Precision dairy farming is a new golden era of dairy industry. Precision Dairy Farming technologies provide tremendous opportunities for improvements in individual animal management on dairy farms. Combined, all devices will provide data that measures cow comfort, which can then be extrapolated to make changes in the dairy’s facilities. Many progressive farms will incorporate precision dairy farming technologies into their daily management within the next 10 years, but not all dairies will adopt these technologies. Precision dairy farming in India is in its infancy but there are numerous opportunities for adoption. A recent ban on selling cows for slaughter, dairy farmers are less likely to expand their herds since there is no market for cows that can no longer produce milk. Further, dairy farmers are looking for higher levels of quality, transparency, and consistency in their supply chains. Dairy tech startups has coming up with advanced technologies which will help the Indian Dairy farmers with the three step solution viz; going into rural communities through fully equipped mobile vans, leveraging data analytics through an app to offer demand-led-extension training to farmers and developing rural youth and women as village entrepreneurs.
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Precision dairy farming involves the use of technologies to measure physiological, behavioral and production indicators on individual animals.

Technologies include

  • Wearable sensors (neck, ear, legs or tail)
  • Rumen boluses
  • Subcutaneous implants
  • Inline or online milk sensors
  • Cow-side tests
  • Video analysis and facial recognition
  • Automated systems for feeding and milking cattle

Sensors

Sensors that can measure various parameters in dairy cows have been developed since the 1970s. They initially included pedometers, milk conductivity and cow identification.

A study conducted at the Reproduction Laboratory in Beltsville, MD (published in the Journal of Dairy Science, 1977) developed an inexpensive, waterproof case to fit human pedometers on cows. They demonstrated consistent changes in activity when cows were in heat and concluded that activity monitoring could be used to help in heat detection.Technology has really improved since then.

The application of technology to biological processes has become increasingly more feasible.

  • Wireless data transmission is less expensive and more reliable.
  • Sensor and sensing (camera, microphone) technologies needed to develop precision dairy products are small and can withstand the harsh environment of a farm.
  • The cost of devices such as mobile phones has decreased.
  • Some mobile phone technologies (gyroscope, accelerometer) can be used for on-farm applications.
  • The use of cloud-based connectivity to integrate and network sensors for data collection and analysis is becoming commonplace.

Technologies used in dairy farming:-

RFID Technology.

Modern Sensor technology.

Automatic Milking System

Mastitis detection tool.

Automatic estrous detection monitor.

Transponder.

Automatic feeding machine.

RFID (Radio Frequency Identification) technology:- Apply ear tags or bolus in animal. RFID identification codes are used to track inpidual animals using datamars portable reader than transfer the data into the system.

Modern Sensor Technology: – These sensors are pided into two types.

Invasive sensor (External sensors):- These are the sensors which may be immobile sensors located in the barn or mobile sensor boxes attached to the cows.

Non- invasive sensors (Internal sensors):- These are the sensor Boxes Swallowed or Implanted in the animals. Ex.:- PH meter and In-build thermometer.

Automatic Milking System: – In this system detailed data is recorded by the machine which can be accessed remotely by computer or mobile device so farmers can check the health and performance of their herd from a distance. Labor on the AMS is 29 percent less than other methods.  A Study in Spain reported production of 1537 kg milk from 53 cows producing 29 kg milk / day.

Mastitis Detection Tools: – This is a very exciting precision dairy farming technology. These tools may prevent the infection of udder from becoming chronic and reduce the losses associated with mastitis. Eq.:- Milk Checker and Somatic cell count machine.

Automatic Oestrus Detection Machine: – These are the instruments used to detect heat symptoms and helpful in breeding management. The success of oestrus detection not only increase conception rate but also raises milk production for the herd. Eq.:- Wireless Intravaginal Temperature Sensors and Pedometer (Pedometer readings for estrous detection and as predictor for time of ovulation in dairy cattle).

Methane Detection Machine: – The equipment used is Laser Methane Detectors (LMD) measures methane (CH4) and also monitor impacts of farm changes on greenhouse gas emissions.

Transponders: – These are the tags which contains information that identifies each animal’s physiological condition, health status as well as the amount of feed requires.

Automatic feeders (ATM):- Automatic feeders are used to eliminate the extra time spent mixing and feeding the animal. It works on the principle of body condition score and milking performance of cow.

The main objectives of Precision Dairy Farming are maximizing individual animal potential, early detection of diseases and minimizing the use of medication through preventive health measures. Many Precision Dairy Farming technologies which are already being utilized by progressive dairy farmers are as under:

Walking activity measurement by use of automated system called pedometer allows monitoring of both walking activity and milk production in dairy farm. Such technologies can also be used for early detection of estrus, digestive disorders, ketosis, lameness, etc. Animal behaviour sensors like mercury switches have also been useful to document head movements, walking and lying behavior. Use of sensors are helpful in measuring head angle, head acceleration, leg acceleration, steps (pedometers), swallowing, jaw movements, biting and chewing sounds, weight, heart rate, core temperature (automatic body temperature monitoring system in a dairy farm would be in early detection of diseases, illnesses, or disorders that plague the dairy industry), etc. Global Positioning System (GPS) ‘collar’ for livestock are being used to record detailed position thereby understanding of the habits and spatial distribution of animals.

Daily milk yield recording and milk electrical conductivity can help in early diagnosis of an adverse health event, thereby alerting the dairy farmer at an earlier stage for adopting timely remedial measures. Use of automated sampling and inline milk analysis, for fat/ protein ratio estimation, as an indicator of negative energy balance, as well as measuring Body condition score (BCS) and daily body weight by using video imaging and automatic milking systems or automatic feeders, respectively, reflects the energy status of dairy animal.

Automation in Feeding Practices: Monitoring feeding behavior (rumen pH, rumination and rumen temperature by using electronic devices, like intra-ruminal wireless telemetry, etc) and feed intake by way of electronic feed monitoring system (Feed troughs with measuring capability) assists in the early identification of sick cows. Using Automatic feed dropping control units which have the ability to automatically drop a designated amount of feed into the feed trough of each individual cow thereby reducing labor, cost savings, removal of possibility for human error, etc. To achieve good health   among pre-weaned calves automated calf feeders are being employed.

Automatic drafting gates: These gates would be a valuable asset to almost any dairy farm and can be operated with herd management software as well.

Activity-based heat detection with a bolus system located in the dairy cow’s rumen; such technologies offer a reliable, innovative alternative for progressive heat detection and general herd monitoring.

Detection of calving by use of sensors system aide farmers with the detection of the precise moment of calving, thereby mitigates the adverse events, if any due to dystocia, etc.

In absence of precision technologies, livestock management decisions will be based almost entirely on the judgment and experience of the livestock farmer. Hence, quantification of these aspects through precision technologies provides an objective measure for identifying individual animals or groups of animals.

Status of Precision Dairy Farming in India: In India, few farms/ organizations have adopted precision technologies which were developed with the help of Indian and foreign companies in dairy farming sector. In the year 2000, the National Livestock Identification Scheme (NLIS) made the use of radio-frequency identification (RFID) tags. These systems provide accurate identification of cows and are linked to pedigree, management events, treatment records, electronic milk meters, computer-controlled feeding, automatic sorting and weighing, etc. On the similar lines, National Dairy Development Board (NDDB) has developed an Information Network for Animal Productivity & Health (INAPH), a desktop/ netbook / android tablet-based field IT application that facilitates the capturing of real time reliable data on breeding, nutrition and health services delivered at farmer’s doorstep. COWEL, AFIMILK, MOIRA (Management of Insemination through Routine Analysis), Herdman, Farm Tree, etc are some of the innovative management systems which provide a professional and comprehensive tool to make day-to-day herd management decisions.

Precision dairy farming in many developing countries including India is in its infancy but there are tremendous opportunities for improvements in individual animal and herd management on dairy farms. Despite widespread availability, adoption of these technologies in the dairy industry has been relatively slow so far. Perceived economic returns from investing in a new technology are likely the main factor influencing Precision Dairy Farming technology adoption. The most progressive producers will adopt those new technologies that appear to be profitable. Though Precision Dairy Farming is in its infancy, new Precision Dairy Farming technologies are introduced to the market each year.

As new technologies are developed in other industries, engineers and animal scientists find applications within the dairy industry. The progressive farmers or the farmers’ groups, with guidance from the public and private sectors, and professional associations, can adopt it on a limited scale as the technology shows potential for raising yields and economic returns on fields with significant variability, and for minimizing environmental degradation. Further, right extension approaches and advisory services for the farmers interested in PDF needs to be undertaken for its effective application under different socio-economic and ecological conditions. In the future, Precision Dairy Farming technologies may change the way we manage our dairy cattle.

This is a new era in dairy management, in those exciting technologies available and in development and there are new ways of monitoring and improving animal health, well-being, and reproduction. These analytic tools will be a source of competitive advantage and Economics and people factors will determine their adoption and success.

https://www.pashudhanpraharee.com/the-in-and-out-of-precision-dairy-farming/

https://www.researchgate.net/publication/348327423_Precision_dairy_farming_Opportunities_and_challenges_for_India

REFERENCE-ON REQUEST.

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