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Automatic milking systems (AMSs) are a relatively new technology characterized by uncertainty and irreversibility. The choice to invest in such a system is analyzed in a real options framework. Alternative financing arrangements, depreciation methods, and other factors are investigated to determine their influence on the optimal investment decision. The results suggest that farm capital structure, loan term, and depreciation method have little impact on the investment decision. The primary determinant in the AMS technology adoption decision appears to be whether the AMS will last longer than the existing parlor.

A fully automatic milking system has been under development at the Silsoe Research Institute for about seven years. Field trials are planned for the next couple of years. It may then take several more years before the system becomes commercially available.

Reports on the first ever automatic milking system, known as VMS, or voluntary milking system, which has been unveiled on a farm in Sweden. The article goes on to outline the history and development of VMS, and its current operating processes.

Statements by Lord Denning, M.R., vividly describing the impact of European Community Legislation are increasingly being used by lawyers and others to express their concern for its effect not only on our legal system but on other sectors of our society, changes which all must accept and to which they must adapt. A popular saying of the noble Lord is “The Treaty is like an incoming tide. It flows into the estuaries and up the rivers. It cannot be held back”. The impact has more recently become impressive in food law but probably less so than in commerce or industry, with scarcely any sector left unmolested. Most of the EEC Directives have been implemented by regulations made under the appropriate sections of the Food and Drugs Act, 1955 and the 1956 Act for Scotland, but regulations proposed for Materials and Articles in Contact with Food (reviewed elsewhere in this issue) will be implemented by use of Section 2 (2) of the European Communities Act, 1972, which because it applies to the whole of the United Kingdom, will not require separate regulations for England and Wales, Scotland and Northern Ireland. This is the first time that a food regulation has been made under this statute. S.2 (2) authorises any designated Minister or Department to make regulations as well as Her Majesty Orders in Council for implementing any Community obligation, enabling any right by virtue of the Treaties (of Rome) to be excercised. The authority extends to all forms of subordinate legislation—orders, rules, regulations or other instruments and cannot fail to be of considerable importance in all fields including food law.

The aim of this postal survey (n = 5,000 : 19.3 per cent response) was to evaluate attitudes to two dairy technologies, bovine somatotrophin (bST) and automatic milking systems (AMS), as part of a wider study of the role of ethical analysis in technology assessment. The survey indicated that awareness of the technologies was associated with the respondents’ attitudes in contrasting ways. Thus, those with greater awareness of bST considered it was less acceptable (p<0.05) while those with more awareness of AMS had more positive attitudes towards it (p<0.05). The use of bST was considered to be “ethically acceptable” by only 9.1 per cent of respondents, and 59.7 per cent believed bST should not be licensed for use in the EU, whereas 38.3 per cent considered AMS use to be “ethically acceptable”. Respondents also identified labelling and animal welfare as important issues. Thus, respondents differentiated between “acceptable or unacceptable” aspects of the technologies rather than simply expressing general attitudes to biotechnologies.

Dutch company Insentec has developed a robotic solution for milking cows. Using a standard industrial robot and machine vision, Insentec's Galaxy product is a fully automated milking station that is available to cows 24 h a day. Some 100 systems are already in use on farms around Europe.

This case describes the challenges faced by Amul in organising dairy farmers into a co-operative and creating continuous opportunities for value addition. Participants in the case discussion are required to review the developments in the organisation and recommend a strategy for the future.

The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is the world’s largest producer as well as consumer of milk but struggles with yield per cattle, overall productivity, low rate of technology acceptance and adoption, health detection of milching units, animal data recording and presence of dairy products in the global market. The purpose of this study is to focus on identifying the challenges of technology adoption in dairy farms and constructing a hierarchical model using soft systems methodology.

This study uses nominal group technique-based discussion with domain experts and personal interviews with dairy farm owners/managers for the identification of challenges, fuzzy interpretative structural modeling as well as FMICMAC to develop a hierarchical model of challenging elements and to divide the identified elements into four categories based on the dominance of driving-dependence power.

This research has developed a list of 12 challenges affecting the technology adoption in a dairy farm business unit, identified through the personal interviews with 60 dairy farms across three highest milk-producing states of India in terms of annual milk output – Haryana, Punjab and Uttar Pradesh. Lack of government support followed by lack of educational opportunities in dairy-based education were found as the most crucial and high driving challenges, whereas high cost, huge investment and low acceptance of decision-maker were found as the most dependent challenges of technology adoption.

This research is one step ahead of interpretive structural modeling that considers the fuzzy-based dominance in the model to showcase the degree of relationship along with its existence, but it lacks to statistically validate the findings using techniques like SEM.

This paper has developed a list of challenges in adoption of technology along with their inter-relationships to highlight the required focus challenge that drives or is dependent on the other challenges. The goal is to bring performance improvement and assist Indian dairy farm business stakeholders or decision-makers in formulating strategic and action plans and help policy planners to make favorable policies based on the understanding of contextual relationship between challenges.

In Indian context, dairy is an important part of agriculture sector, and milk is an essential item that facilitates income generation to small and rural households and a source item for several other businesses and activities. The results of this research suggested the policy planners and government to ensure subsidized and insured technologies, training support and facilities, educational opportunities and efforts for promotion of technology adoption among dairy farmers. The suggestions are purely on the basis of the relevance of challenges in the hierarchy and can play a significant role in improving the level of technology adoption and can ultimately uplift the social and economic well-being from micro-level of farmers to macro-stage concerning economic development of India.

To the best of the authors’ knowledge, this study is purely original and outcome of the research conducted by authors.

This article examines the dairy value chain in Southern Peru and identifies four critical success factors that can enhance the local situation.

The study employed descriptive research using semi-structured interviews with entrepreneurs from 17 cheese factories across eight districts, namely Azángaro, Ayaviri, Pucara, Lampa, Cabana, Acora, Pomata and Puno. Quantitative market data were also gathered and analyzed alongside qualitative views.

The study identified four critical issues: quality concerns in milk production, suboptimal managerial practices of cheese-processing plants, lack of compliance to regulations, particularly hygiene and environmental ones, and inadequate access to finance. The findings reveal a gap between the practices of the Puno region's dairy industry and world-class standards for cheese production. Urgent actions are required to improve product quality, increase access to finance, enhance managerial education and ensure compliance with regulations.

Results suggest critical issues to be prioritized, but the article does not propose how to solve the problems identified. External factors, such as economic changes, were also not considered. Interviews were conducted exclusively with cheese processing entrepreneurs, not milk producers.

This case study provides an insight into the interior of Peru, an under-researched region facing several development challenges. The findings have significant implications for dairy value chain stakeholders in Peru and other similar contexts.

The purpose of this paper is to measure the technical inefficiency of dairy farms and subsequently investigate the factors affecting technical inefficiency in the Malaysian dairy industry.

This study uses multi-directional efficiency analysis to measure the technical inefficiency scores on a sample of 200 farm observations and single-bootstrap truncated regression model to define factors affecting technical inefficiency.

Managerial and program inefficiency scores are presented for intensive and semi-intensive production systems. The results reveal marked differences in the inefficiency scores across inputs and between production systems.

Intensive systems generally have lowest managerial and program inefficiency scores in the Malaysian dairy farming sector. Policy makers could use this information to advise dairy farmers to convert their farming system to the intensive system.

The results suggest that the Malaysian Government should redefine its policy for providing farm finance and should target young farmers when designing training and extension programs in order to improve the performance of the dairy sector.

The existing literature on Southeast Asian dairy farming has neither focused on investigating input-specific efficiency nor on comparing managerial and program efficiency. This paper aims to fill this gap.