With increasing possibilities for obtaining online information for individual cows, systems for individual management can be developed. Feeding and drinking patterns from automatically obtained records may be valuable input information in these systems. With the aim of evaluating appropriate mixed-distribution models for feeding and drinking events, records of 30 fresh cows from visits at feeding stations (n = 83,249) and water bowls (n = 67,525) were analyzed. Cows were either allowed a high-milking (HF) or a low-milking (LF) frequency by being subjected to controlled cow traffic with minimum milking intervals of 4 and 8 h, respectively. Milking frequency had significant effects on feeding patterns. The major part (84 to 98%) of the random variation in feeding patterns of the cows was due to individual differences between cows. It can be concluded that cows develop consistent feeding and drinking patterns over time that are characteristic for each individual cow. Based on this consistency, patterns of feeding and drinking activities have valuable potential for purposes of monitoring and decision making in individual control management systems. Use of a Weibull distribution to describe the population of intervals between meals increased the statistical fit, predicted biologically relevant starting probabilities, and estimated meal criteria that were closer to what has been published by others.

No abstract

The purpose of this article is to present and test a framework for lean implementation in the agricultural sector, addressing challenges from an operational and strategical perspective. The article builds on the previous literature on the use of Lean and reports empirical data from a lean implementation project in the south-western Sweden, including interviews, observations, diaries and questionnaires. A framework is developed to examine strategic and operational perspectives on Lean Thinking. Using this framework, a number of challenges encountered in Lean implementation are presented. This article is limited to the study of Lean among a group of Swedish farms although its findings may have implications for the wider agricultural sectors. Many societal challenges are linked with agricultural sustainability, stressing the need for productive, resource-efficient, resilient and less wasteful food production. This article is the first to develop and test a Lean implementation framework in the agriculture sector. ARTICLE HISTORY

No abstract

No abstract