This methodological framework is based on Life Cycle Assessment (LCA) and multi-criteria assessment methods. It integrates CSA-related issues through the definition of Principles, Criteria and Indicators, and involves farmers in the assessment of the effects of CSA practices. To reflect the complexity of farming systems, the method proposes a dual level of analysis: the farm and the main cash crop/livestock production system. After creating a typology of the farming systems, the initial situation is compared to the situation after the introduction of a CSA practice.
In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women’s (and men’s) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women’s empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household.
We assess a new method for assessing AC at a sectoral level and operationalize AC measurement based on an SLA to assess the ability of the European agricultural sector to adapt to extreme droughts.
In this paper, introduction presents the problem statement. The second chapter gives a brief description of the Smart Farming system. The third chapter provides an overview of ontologies. The fourth chapter describes implementation of the knowledge base in the Smart Farming system. The fifth chapter presents the main functions of the ontology editor for working with the knowledge base. Conclusions and prospects of further development of knowledge base in crop production are also given
Agriculture Innovation System (AIS) thinking and approaches are largely perceived as a sine-qua-non for the design and implementation of effective and sustainable agriculture development programmes. AIS has gained popularity in the agriculture innovation literature and has been embedded in policy documents of agriculture sector institutions in many countries. However, there is much less evidence of AIS thinking influencing the behaviours of research and extension institutions and staff ‘on the ground’.
As digitalisation transforms agriculture, the implications of cumulative innovation processes are essential to consider in order to mitigate risk and capitalise on opportunities. One project that involves imagining the future of the sector and aims to develop the necessary tools and infrastructure is the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) Digiscape Future Science Platform (FSP). This paper explores the policy framework encompassing these technologies and elucidates considerations for future governance in Australia and beyond.
Digital agriculture is likely to transform productive processes both on- and off- farm, as well as the broader social and institutional context using digital technologies. It is largely unknown how agricultural knowledge providing organisations, such as advisors and science organisations, understand and respond to digital agriculture. The concept of ‘organisational identity’ is used to describe both initial understandings of, and emerging responses, to digital agriculture, which together show how organisations ‘digi-grasp’, i.e.
This paper systematically reviews the evidence on what capacities the state requires to leverage agriculture for nutrition in fragile contexts, maintaining a focus on state in South Asia (especially India). It uses the framework of what the state ought to do (in terms of pathways), can do (in relation to parts of the enabling environment it is able to deliver) and is willing to do (addressing constraints in terms of political choices).
Exclusion of Indigenous and local communities' connections to the rest-of-nature is a typical problem in policy-decision making. This paper highlights the key attributes of these connections and suggests evaluation pathways to mainstream them into policy development. For this, we integrate and apply the ecosystem services (ES) and human capability concepts.
This study focuses on the accumulated indigenous knowledge of the Yao ethnic minority in Bac Kan Province of Vietnam. Through centuries of observation and experimentation, the Yao people have developed complex farming systems, cultural practices, and a knowledge base well-suited to their environments. Data for this study was collected through surveys, interviews, and focus group discussions to gather indigenous knowledge on native crop varieties and animal breeds, weather forecasting, and the timing and location of cultivation practices.