Farmer Profiling Making Data Work For Smallholder Farmers
Download Farmer Profiling Making Data Work For Smallholder Farmers PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Farmer Profiling Making Data Work For Smallholder Farmers book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Farmer profiling: Making data work for smallholder farmers
The study presented in this report was commissioned by the Technical Centre for Agricultural and Rural Cooperation (CTA) as a member of the Global Open Data for Agriculture & Nutrition (GODAN) initiative, and was conducted by SB Consulting (SBC4D). The objective of the research is to understand the role of farmer organisations (FO) and cooperatives in the agriculture data ecosystem. These organisations have long been recognised to play an important role in society that translates into the improvement of living conditions of their members, particularly the low-income earning population. More than 40% of households in Africa are member of a cooperative society ([ILO-2000]) and the cooperative movement is Africa’s biggest nongovernmental organisation. The key question this report explores is the role of these organisations in the emergent “data revolution.” How can they ensure that this data revolution benefits their members and the smallholder farmers in general, and at the same time contribute to the revolution by providing valuable information to policy makers or other stakeholders of the ecosystem?
Farm data management, sharing and services for agriculture development
Author: Food and Agriculture Organization of the United Nations
language: en
Publisher: Food & Agriculture Org.
Release Date: 2021-02-26
This book aims to strengthen the skills of professionals who use, manage data for the benefit of farmers and farmers organizations by exposing them to the topics of importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience.
Operational guidelines for the design, implementation and harmonization of monitoring and evaluation systems for climate-smart agriculture
Author: Food and Agriculture Organization of the United Nations
language: en
Publisher: Food & Agriculture Org.
Release Date: 2019-09-24
Monitoring and evaluation (M&E) is recognized as critically important for tracking progress, whether it serves the purpose of accountability to donors, informs future improvements to CSA practices, or contributes to the aggregate global progress toward meeting the SDGs or the global stocktake under the Paris Agreement. There has been a growing chorus acknowledging the need to align the indicators and M&E frameworks of major donors with those of the three global agreements. Monitoring and reporting has begun on the SDGs, although the development of methodologies for various indicators is an evolving process. The development of specific indicators for the agriculture sector is also well underway for the Sendai Framework. The organizations conducting this work have recognized the need to streamline these processes. For example, they have already attempted to align several of the indicators between the SDGs and the Sendai Framework.These operational guidelines aim to address the core constraints and needs of FAO Member States on both the design and implementation of M&E systems that can simultaneously address CSA and sector reporting requirements for the 2030 Agenda, the Sendai Framework and the UNFCCC Paris Agreement. First and foremost, the guidelines acknowledge the principal need expressed by Member States that M&E systems and indicators be simple and not onerous. The challenges that have always existed with regard to M&E for CSA are still present, and are particularly pronounced for pillar 2, adaptation and resilience. These challenges to the development of indicators for pillar 2 have exhibited the greatest need for attention.