title: Smallholder sugarcane growers, indigenous technical knowledge, and the sugar industry crisis in Fiji

authors: Dean, Mohseen Riaz Ud

subjects: Smallholder

abstract: This is a cross-disciplinary study that draws upon the agronomic, ecological, and social sciences to analyse the current crisis facing the sugar industry in Fiji. Its particular focus is the livelihood crisis facing the smallholder sugarcane growers, and it explores the potential of their local and traditional farming knowledge as a source of solutions for both crises. It argues, however, that present proposals for reforming the sugar industry in Fiji are wedded to the industrial agricultural paradigm and a globalized corporate food regime that is the source of the problems it currently faces and which threatens the future of the smallholder sugarcane farming system along with its local traditional knowledge. The thesis draws inspiration from Agroecology as an agricultural paradigm alternative to the conventional industrial paradigm to advocate for greater attention to be given to smallholder sugarcane growers and their local and traditional farming knowledge in seeking solutions to the crisis of the sugar industry in Fiji.

To explore these complex issues, the thesis adopts a cross-disciplinary, mixed-method approach. Participant observation, focus group discussions, and informal interviews with smallholder sugarcane farmers were used to elicit their views, feeling, thoughts and opinions on the Fiji sugar industry, their relationships with other sugar industry actors, and their own indigenous technical knowledge. Livelihood survey methods and agroecosystem analysis were used to gather quantitative data on household and farm status. This information was analysed using IBM® Social Science software: Statistical Package for Social Sciences (SPSS) and Microsoft® Office Excel Spreadsheet, to provide an up-to-date profile of livelihood and farming situation of smallholder sugarcane growers. Semi-structured interviews with industry stakeholders were used to identify the agricultural problems and socio-economic issues facing the industry and their differing views on the solutions proposed to solve them. Archival material was used to obtain information on past efforts of the sugar industry to develop solutions to problems at the local, national and international levels, and existing academic literature was reviewed for additional information on the contemporary situation of the smallholder sugarcane growers and the Fiji sugar industry as a whole.

text: Smallholder sugarcane growers, indigenous technical knowledge, and the sugar industry crisis in Fiji This is a cross-disciplinary study that draws upon the agronomic, ecological, and social sciences to analyse the current crisis facing the sugar industry in Fiji. Its particular focus is the livelihood crisis facing the smallholder sugarcane growers, and it explores the potential of their local and traditional farming knowledge as a source of solutions for both crises. It argues, however, that present proposals for reforming the sugar industry in Fiji are wedded to the industrial agricultural paradigm and a globalized corporate food regime that is the source of the problems it currently faces and which threatens the future of the smallholder sugarcane farming system along with its local traditional knowledge. The thesis draws inspiration from Agroecology as an agricultural paradigm alternative to the conventional industrial paradigm to advocate for greater attention to be given to smallholder sugarcane growers and their local and traditional farming knowledge in seeking solutions to the crisis of the sugar industry in Fiji.

To explore these complex issues, the thesis adopts a cross-disciplinary, mixed-method approach. Participant observation, focus group discussions, and informal interviews with smallholder sugarcane farmers were used to elicit their views, feeling, thoughts and opinions on the Fiji sugar industry, their relationships with other sugar industry actors, and their own indigenous technical knowledge. Livelihood survey methods and agroecosystem analysis were used to gather quantitative data on household and farm status. This information was analysed using IBM® Social Science software: Statistical Package for Social Sciences (SPSS) and Microsoft® Office Excel Spreadsheet, to provide an up-to-date profile of livelihood and farming situation of smallholder sugarcane growers. Semi-structured interviews with industry stakeholders were used to identify the agricultural problems and socio-economic issues facing the industry and their differing views on the solutions proposed to solve them. Archival material was used to obtain information on past efforts of the sugar industry to develop solutions to problems at the local, national and international levels, and existing academic literature was reviewed for additional information on the contemporary situation of the smallholder sugarcane growers and the Fiji sugar industry as a whole.

year: 2019

title: Experiment Databases: Creating a New Platform for Meta-Learning Research

authors: Vanschoren, Joaquin

subjects: computer science

abstract: Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certain datasets. However, the field is still evolving relatively quickly, and new algorithms, preprocessing methods, learning tasks and evaluation procedures continue to emerge in the literature. Thus, it is impossible for a single study to cover this expanding space of learning approaches. In this paper, we propose a community-based approach for the analysis of learning algorithms, driven by sharing meta-data from previous experiments in a uniform way. We illustrate how organizing this information in a central database can create a practical public platform for any kind of exploitation of meta-knowledge, allowing effective reuse of previous experimentation and targeted analysis of the collected results.

text: Experiment Databases: Creating a New Platform for Meta-Learning Research Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certain datasets. However, the field is still evolving relatively quickly, and new algorithms, preprocessing methods, learning tasks and evaluation procedures continue to emerge in the literature. Thus, it is impossible for a single study to cover this expanding space of learning approaches. In this paper, we propose a community-based approach for the analysis of learning algorithms, driven by sharing meta-data from previous experiments in a uniform way. We illustrate how organizing this information in a central database can create a practical public platform for any kind of exploitation of meta-knowledge, allowing effective reuse of previous experimentation and targeted analysis of the collected results.

year: 2008

title: Lake weed and the Rotorua Te Arawa Lakes then and now

authors: Burton, Tracy

abstract: This afternoon we will be looking beneath the surface of the Rotorua
Te Arawa lakes at the submerged aquatic plants that grow within them – the good the bad and the ugly. We will have a look at the special native aquatic plants that occur naturally in the lakes, familiarise ourselves with the weed species that have invaded them and look at how these weeds have (and are) changed the natural condition of the lakes. We will also look at how submerged plants are being used to report on the condition of our lakes and what these plant communities can tell us about the state of the lakes yesterday and today.

text: Lake weed and the Rotorua Te Arawa Lakes then and now This afternoon we will be looking beneath the surface of the Rotorua
Te Arawa lakes at the submerged aquatic plants that grow within them – the good the bad and the ugly. We will have a look at the special native aquatic plants that occur naturally in the lakes, familiarise ourselves with the weed species that have invaded them and look at how these weeds have (and are) changed the natural condition of the lakes. We will also look at how submerged plants are being used to report on the condition of our lakes and what these plant communities can tell us about the state of the lakes yesterday and today.

year: 2017