The Agriculture Research Group On Sustainability (ARGOS) is investigating the social, environmental and economic consequences of different management systems in different farming sectors in New Zealand (for more information ...

Sheep/beef farmers comprise a diverse group of individuals with a variety of perspectives on and approaches to sustainable production. This diversity is the product of a broad range of social, cultural, economic, and ...

The primary objective of this research was to analyse sketch maps completed by ARGOS kiwifruit orchardists and sheep/beef farmers to find out what was important to their management of their properties, and compare production ...

The primary objective of the ARGOS project is the transdisciplinary examination of the condition of sustainable agriculture in New Zealand (including environmental, economic and social aspects). In pursuit of this objective ...

The main objectives of this report are to assess the extent to which it is possible to differentiate among the management system panels of ARGOS farms/orchards and to assess how such difference is manifest in the social ...

The core of the ARGOS research design is a longitudinal panel study. Panels of 12 farms were selected to represent conventional, integrated and organic management for the sheep/beef sector, Kiwigreen, gold and organic ...

The specific research objective addressed in this report is to assess the kiwifruit sector on a number of topical dimensions. In addition, a related objective is to assess how these dimensions may vary by management system ...

The research undertaken by the ARGOS Economic Research Objective includes a wide range of research areas, many of which do not involve comparison of data from sector panels. The team monitors and reviews market access ...

This study establishes base data and determines the actual staff management practices followed by a sample of dairy farmers in Canterbury. A person-centred approach was followed in which respondents were simply asked what ...

On-farm computing is increasingly becoming an integral part of farm decision systems. To aid the development of appropriate systems and their efficient use it is important to understand the changing farm computing scene. ...