The SALSA project aims at assessing the current and future role of small farms and related small food businesses in contributing to sustainable food and nutrition security at regional level in Europe and in selected African regions, and to identify the conditions for them to meet the demand for food in an increasingly populated and resource-constrained world.
This deliverable is a report on the main methodological steps implemented in the framework of the Small Farms, Small Food Business and Sustainable Food Security (SALSA) project in task 2.3 of Work Package 2 (WP2) to produce the Output 3, which is a crop type map in small farms context in each reference region (see D.2.4 report pag. 5).
This document presents the small farm typologies developed from SALSA's sample (n=892) and provides a detailed comparative analysis on the key characteristics and livelihood strategies of each of the types, identifying similarities, differences and trends.
This document presents an in-depth comparative assessment of the local and regional food systems analysed in SALSA. Its aim is to improve the understanding of the current and potential role of SF in regional Food and Nutrition Security (FNS). This deliverable is a synthesis report on the main insights gained from the analysis completed for the 30 reference regions.
The present document is the first deliverable from SALSA's Work Package 4 which includes, after an introductory section that explains the methodological approach and the workshops' preparatory process, a compilation of 11 reports from each region where the foresight analysis was undertaken. Each regional report contains the main outcomes from these foresight activities on the future potential role of small farms and small food businesses in food and nutrition security.
This report represents findings on the role of women in small-scale farming (defined as farms up to 5 ha or 8 ESU), particularly in relation to governance frameworks associated with food and nutrition security. It follows SALSA Deliverable 5.1, which assesses the governance arrangements which impact upon small-scale farms and small food businesses. Both reports utilise the data collected in SALSA WP3 (In-depth assessment of food systems in 30 regions).
Though Odisha is India’s top sweetpotato-producing state, most farmers grow low-yielding varieties of limited nutritional value. The Odisha Directorate of Horticulture and the International Potato Center (CIP) spent four years promoting improved varieties and good agricultural practices in four districts of Odisha, resulting in a 25 per cent growth in the area dedicated to the crop, a 17 per cent increase in farm productivity, and a 40 per cent increase in farmer incomes within the project areas; as well as the introduction of a nutritious, orange-fleshed sweetpotato variety.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
Agricultural Technology Management Agency (ATMA) is a single-window institutional arrangement for technology and information dissemination at the district level and an attempt was made to assess the dairy extension system in the context of ATMA in Guntur district of Andhra Pradesh during 2016. The study revealed that along with organized dairy extension services, ATMA is an important alternative to provide extension services to the dairy sector as animal husbandry sector is an existing allied sector for the ATMA.
This study presents a framework of climate smart agriculture (CSA) priority setting methodology for identifying and developing portfolios of options based on local stakeholders' responses to CSA technologies. The methodology uses a participatory prioritization framework which is widely used in the development sector This study has modified the existing participatory framework to indicator based prioritization of CSA technologies.