Physical and economic comparison of pasture-based automatic and conventional milking systems

Gargiulo, Juan; Lyons, Nicolas; Kempton, K.; Armstrong, Dan P.; García, S. C.

doi:10.3168/jds.2020-18317

Cited by 16 publications

(10 citation statements)

References 25 publications

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“…Gargiulo et al [48] discussed in 2020 about the low adoption rate of AMS regardless of the increased possibility of productivity and profitability rates. Although his study results contest the research hypothesis, he concluded that CMS had similar results with the AMS in terms of human resource costs, income level and profitability.…”

Section: Discussionmentioning

confidence: 99%

“…Although his study results contest the research hypothesis, he concluded that CMS had similar results with the AMS in terms of human resource costs, income level and profitability. The initial investment and maintenance costs entail greater cost of AMS [48]. Bijl et al discovered that the over-cost for AMS in the Netherlands were significantly lower [49] (pp.…”

Section: Discussionmentioning

confidence: 99%

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Research on Innovative Business Plan. Smart Cattle Farming Using Artificial Intelligent Robotic Process Automation

et al. 2021

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Integrating livestock management with the required devices and sensors is now seen as a critical factor in the agricultural sector’s long-term success. The findings revealed that the agricultural business sector is open to implementing Information and Communication Technology (ICT) solutions, so the aim of this paper is to determine how advantageous it is for Romanian farmers to invest in a project that employs smart cattle farming methods that incorporate Artificial Intelligence (AI), Robotic Process Automation (RPA) and the Internet of Things (IOT). An unstructured interview was used to gather empirical evidence during a focus group meeting. Analyzing the selected primary performance metrics, it was projected that the farm’s profitability would increase by 19 percent, productivity would increase by 21 percent, and the farm’s environmental impact would decrease by 22 percent. Automation and remote work would help minimize the farm’s worker burden while also making control panels, decision-making files, and data analysis more available. In order for the domain to be as prosperous as possible, farmers must be made aware of the benefits of using these emerging technologies for closing the gap between farmers and Information Technology (IT) solution providers, and this can be accomplished through continuous training for both farmers and their technology vendors.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Research on Innovative Business Plan. Smart Cattle Farming Using Artificial Intelligent Robotic Process Automation

et al. 2021

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“…This has positive practical implications if the RPM is used to calibrate remote sensing-captured data, as it simplifies the task. If we consider an average farm with an area of ≈150 ha [6] and 64 RPM readings/ha, the farmer will need to perform 9,600 readings to achieve good accuracy. From the duration per RPM reading recorded in the current work (2.2 s per reading), monitoring with the RPM across the whole farm will require 5.9 h. Anecdotal evidence from dairy farmers indicates that this task could require ≈3 h on average, suggesting that farmers would work with reduced numbers of steps as we recommend here, and therefore increased error.…”

Section: Discussionmentioning

confidence: 99%

“…As the annual pasture utilization (pasture ingested per cows per hectare) is positively associated with profitability [2,3], methods to increase this utilization should improve the overall farm business performance. In this regard, there is a substantial opportunity for most commercial farms to lift profitability, given the large gap between current and potential pasture utilization [4][5][6]. Accurate measurement and allocation of pasture can increase milk production by ≈10%, mainly by utilizing the pasture that otherwise would be wasted [7].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data

et al. 2020

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There is a substantial opportunity to lift feed utilization and profitability on pasture-based dairy systems through both increased pasture monitoring accuracy and frequency. The first objective of this experiment was to determine the impact of the number of electronic rising plate meter (RPM) readings and walking pattern on the accuracy of the RPM to determine pasture biomass. The second objective was to evaluate current satellite technology (i.e., small CubeSats and traditional large satellites) in combination with the electronic RPM as an accurate tool for systematic pasture monitoring. The experiment was conducted from October to December 2019 at Camden, Australia. Two experimental paddocks, each of 1.1 ha, were sown with annual ryegrass and monitored with an electronic RPM integrated with Global Navigation Satellite System and with two different satellites (Planet CubeSats and Sentinel-2 satellite). Here we show that 70 RPM readings achieve a ± 5% error in the pasture biomass estimations (kg DM/ha), with no effect of the walking pattern on accuracy. The normalized difference vegetation index (NDVI) derived from satellites showed a good correlation with pasture biomass estimated using the electronic RPM (R2 0.74–0.94). Satellite pasture biomass and growth rate estimations were similar to RPM in one regrowth period but underestimated by ≈20% in the other. Our results also reveal that the accuracy of uncalibrated satellites (i.e., biomass estimated using NDVI to kg DM/ha standard equations) is low (R2 0.61, RMSE566–1307 kg DM/ha). However, satellites calibrated with a RPM showed greater accuracy in the estimations (R2 0.72, RMSE255 kg DM/ha). Current satellite technology, when used with the electronic RPM, has the potential to not only reduce the time required to monitor pasture biomass manually but provide finer scale measurements of pasture biomass within paddocks. Further work is required to test this hypothesis, both spatially and temporally.

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“…Studies carried out indicate that the farms that have AMS register greater quantity and better bacterial quality of milk produced, as well as saving labor [ 148 , 149 ]. In turn, these systems imply higher repair and maintenance costs, as well as the need for specialized staff [ 150 ]. A recent study conducted on a farm in the United Kingdom found that after installing an AMS, there was a 13% increase in yield and a 28% reduction in somatic cell count (SCC) [ 151 ], with variations depending on farms.…”

Section: Milk Production: From Rearing To Milkingmentioning

confidence: 99%

Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries

Medeiros

Fernández-Novo

Astiz³

et al. 2022

Veterinary Sciences

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This work aimed to review the important aspects of the dairy industry evolution at herd level, interrelating production with health management systems. Since the beginning of the industrialization of the dairy cattle sector (1950s), driven by the need to feed the rapidly growing urban areas, this industry has experienced several improvements, evolving in management and technology. These changes have been felt above all in the terms of milking, rearing, nutrition, reproductive management, and design of facilities. Shortage of labor, emphasis on increasing farm efficiency, and quality of life of the farmers were the driving factors for these changes. To achieve it, in many areas of the world, pasture production has been abandoned, moving to indoor production, which allows for greater nutritional and reproductive control of the animals. To keep pace with this paradigm in milk production, animal health management has also been improved. Prevention and biosecurity have become essential to control and prevent pathologies that cause great economic losses. As such, veterinary herd health management programs were created, allowing the management of health of the herd as a whole, through the common work of veterinarians and farmers. These programs address the farms holistically, from breeding to nutrition, from prevention to consultancy. In addition, farmers are now faced with a consumer more concerned on animal production, valuing certified products that respect animal health and welfare, as well as environmental sustainability.

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Physical and economic comparison of pasture-based automatic and conventional milking systems

Cited by 16 publications

References 25 publications

Research on Innovative Business Plan. Smart Cattle Farming Using Artificial Intelligent Robotic Process Automation

Research on Innovative Business Plan. Smart Cattle Farming Using Artificial Intelligent Robotic Process Automation

Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data

Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries

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