Robotic Milking

2011 ◽  
pp. 225-234
Author(s):  
R. Hall ◽  
M. Street ◽  
D. Spencer
Keyword(s):  
Robotic Milking

Making Successful Decisions on Robotic Milking Technology

2012 ◽  
Author(s):  
Larry F. Tranel ◽  
Jennifer A. Bentley ◽  
Kristen Schulte
Keyword(s):  
Robotic Milking

scholarly journals Adaptation strategy of different cow genotypes to the voluntary milking system

2020 ◽  
Vol 10 (1) ◽  
pp. 145-150
Author(s):  
O. O. Borshch ◽  
B. V. Gutyj ◽  
O. I. Sobolev ◽  
O. V. Borshch ◽  
S. Yu. Ruban ◽  
...  
Keyword(s):  
Milk Yield ◽  
Adaptation Strategy ◽  
Adaptation Period ◽  
Adaptation Time ◽  
Brown Swiss ◽  
Holstein Breed ◽  
Number Of Visits ◽  
Robotic Milking ◽  
Daily Milk Yield ◽  
Daily Milk

The aim was of this study was to discover the adaptation indicators of different breeds first-calving cows to voluntary (robotic) milking system during the first month of lactation. The research was carried out in a robotic farm on German Holstein, French Holstein breeds and Brown Swiss breed of cows. During the adaptation period, the German Holsteins were differed from the rench Holsteins and Brown Swiss breed by milk yield, multiplicity of milking, and the amount of consumed concentrated feed. On the 30th day (end of adaptation period), the German Holstein breed dominated over the French Holstein breed and Brown Swiss having average daily milk yield by 0.73 and 4.12 kg, milking times by 0.26 and 0.34, the amount of consumed concentrated feed by 0.32 and 0.61 kg higher. In addition, the German Holstein breed during the adaptation period was distinguished by higher multiplicity of passages through the selection gate and the number of visits to feed stations. Important indicators of adaptation to free keeping and voluntary milking are the number of cases of forced milking. On the 5th day of lactation, some 69.4–86.2% of cows of all the groups did not enter the milking robot. This indicator has been steadily declining every five days. On the 30th day of lactation the cases of operator-forced milking were 24.3–35.9% and they were the lowest in cows of the German Holstein breed, indicating the best adaptive qualities of this cattle. The German Holstein breed had more lower (by 0.30 and 0.26 mS/cm) electrical milk conductivity on the 30th day compared with French and Brown Swiss breeds. In addition, the number of somatic cells in its milk was lower by 19.4 and 17.1 thousand cells per cm3 compared with French Holstein and Brown Swiss breed. Therefore, we suggested that the German Holstein breed has more higher stress tolerance, and hence a shorter adaptation time to the keeping.

Robotic milking: a review

Robotica ◽  
1990 ◽  
Vol 8 (4) ◽  
pp. 311-318 ◽  
Author(s):  
A.R. Frost
Keyword(s):  
Robotic Systems ◽  
Robotic Milking ◽  
Morphological Differences ◽  
Milking Machine

SUMMARYAttaching the milking machine to the cow is the last remaining major repetitive task that the worker in a modern milking parlour has to perform. Several groups of research workers are developing robotic systems for this purpose. The task for the robot of locating the cow's teats and attaching the machine is complicated by morphological differences between cows and the need to allow the cow freedom to move during the operation. This paper reviews the progress that has been made.

Non-nutritional (novel) techniques for manipulation of milk composition

2000 ◽  
Vol 25 ◽  
pp. 223-239 ◽  
Author(s):  
C.H. Knight ◽  
A. Sorensen ◽  
D.D. Muir
Keyword(s):  
Protein Secretion ◽  
Milk Composition ◽  
Feedback Inhibitor ◽  
Milking Frequency ◽  
Endocrine Factors ◽  
Robotic Milking ◽  
New Research ◽  
Processing Properties ◽  
Extended Lactation ◽  
The Impact

AbstractThis review considers the control of milk composition by endocrine factors and local mechanisms operating within the udder, and the impact of management systems and the environment on these control systems. Much less is known about control of milk composition than yield, although one can propose that prolactin is more concerned with control of lactose and protein secretion whilst growth hormone has a bigger role to play in fat secretion. Molecular biological approaches have the potential to increase understanding and, in the distant but foreseeable future, to manipulate milk composition on a commercial scale. The feedback inhibitor of lactation (FIL), which is responsible for local control of milk yield, has equal effects on lactose, fat and protein secretion, so changes in milking frequency do not alter gross milk composition. During the course of lactation the processing properties of milk gradually deteriorate as a consequence of proteolytic degradation of caseins, but new research shows that this can largely be prevented by milking thrice–daily. This has significant implications for future milking strategies such as robotic milking and extended lactation.

METHOD FOR EVALUATING INDIVIDUAL CHARACTERISTICS OF MILK EJECTION OF COWS WHEN USING DIFFERENT MILKING TECHNOLOGIES

2021 ◽  
pp. 66-78
Author(s):  
V.P. MESHCHERYAKOV ◽  
◽  
YU.G. IVANOV ◽  
T.N. PIMKINA ◽  
E.V. ERMOSHINA
Keyword(s):  
Latent Period ◽  
Average Duration ◽  
Individual Characteristics ◽  
Maximum Intensity ◽  
Milk Ejection ◽  
Short Period ◽  
Robotic Milking ◽  
Automatic Milking Systems ◽  
Milking Machine ◽  
The Individual

The aim of the research is to study the possibility of using a latent period of the ejection of the first portion of milk in order to evaluate the individual characteristics of the milk ejection features of cows using the technology of bucket milking and robotic milking. Two experiments were conducted on cows of Black-Motley breed. Under the first experiment, the individual characteristics of the milk ejection were shown using the technology of bucket milking. Under the second experiment, they were determined for the technology of robotic milking. The first experiment was conducted on 12 mature cows. They were milked with a serial milking machine. The process of lactation was recorded by means of a bucket counter. The parameters of milk ejection were defined by analyzing the curve of lactation and making calculations. The second experiment was conducted on 30 first-calf heifers. Cows were milked on robotic installation the Astronaut A4 of Lely Company (the Netherlands). The data of the information system of herd management Lely T4C have been used for the analysis. Depending on the indicator of a latent period of the first milk portion ejection in both experiments three groups of cows (I–III) have been isolated. The ability of milk ejection in the first group was identified as high, in the second group – average and in the third group – low. Both experiments showed that the value of a latent period of the first milk portion ejection determined the milk ejection ability of cows. The increase in the period of the first milk portion ejection has been found among cows as their milk ejection ability decreses. The currently used milking technology shows that the reduced milk ejection among cows leads to the decrease in the indicators of the average and maximum intensity of milk ejection, the first two minutes of milking and also it leads to longer duration of milking. Using the robotic milking, the authors found that the first-calf heifers with the short period of the first milk portion ejection are characterized by the shortest duration of treating the teats and staying in the milking parlor, the average duration of milk ejection from the each quarter of the udder, as well as high values of the average and maximum intensity of milk ejection. The first-calf heifers with slow milking capacity are characterized by the longest duration of treating the teats and staying in the milking parlor, the average duration of milk ejection from the each quarter of the udder, as well as the lowest values of the average and maximum intensity of milk ejection. This suggests that the selection of first-calf heifers with high milk ejection ability will help to increase the productivity of automatic milking systems during the milking process. It is proposed to use the value of a latent period of the first milk portion ejection in the breeding activities.

Labor satisfaction research in the conditions of digital transformation (robotization) of agriculture

2021 ◽  
pp. 33-39
Author(s):  
Alexander N. Semin ◽  
◽  
Egor A. Skvortsov ◽  
Ekaterina G. Skvortsova ◽  
◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Agricultural Production ◽  
Digital Transformation ◽  
Work Schedule ◽  
Work Safety ◽  
Main Hypothesis ◽  
Machine Operators ◽  
Robotic Milking ◽  
Milking Machine ◽  
Hygienic Conditions

The article examines the problems of job satisfaction of agricultural workers in the context of digital transformation, in particular, the introduction of robotics into production. The main hypothesis of the study is that the use of robotics in agriculture will increase the job satisfaction of workers interacting with robots. The results of a questionnaire survey of job satisfaction of operators of machine and robotic milking are presented. The respondents were most satisfied with the operation of the equipment (8.7 points), the work schedule (8.1 points), the level of supply of consumables (7.8 points). The smallest value of job satisfaction was found in terms of sanitary and hygienic conditions – 6.21 points. Robotic milking operators are more satisfied with the work schedule and work safety than their counterparts on farms without robots. Overall satisfaction with the work of milking machine operators is 6.9 points, and for robotic milking operators – 8.07 points, which is 1.17 points higher. Specific recommendations are given on the use of robotics in agricultural production, which can significantly increase the indicators of job satisfaction.

Energy Efficiency Recommendations for Robotic Milking Systems

2010 ◽  
Author(s):  
Josh Jon Kaurich ◽  
Josh Jon Kaurich
Keyword(s):  
Energy Efficiency ◽  
Robotic Milking
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