This chapter presents an analytic framework to identify agricultural innovations that are sustainable and suitable for the poorest and most vulnerable parts of the population. The framework contains a set of tools to collect and evaluate information on appropriate innovations based on relevant criteria. It considers the dimensions of environmental resilience, economic viability, and social sustainability, as well as technical sustainability considering important properties of the innovation itself.

This book is an informative volume written by international experts in the fieldPresents recent advances in sustainable agriculture research and development focuses on environmentally sustainable and profitable food production systems. This volume is a ready reference on sustainable agriculture and reinforce the understanding for its utilization to develop environmentally sustainable and profitable food production systems.

As the COVID-19 pandemic turns into a global crisis, countries are taking measures to contain the pandemic. Supermarket shelves remain stocked for now. But a protracted pandemic crisis could quickly put a strain on the food supply chains, which is a complex web of interactions involving farmers, agricultural inputs, processing plants, shipping, retailers and more. The shipping industry is already reporting slowdowns because of port closures, and logistics hurdles could disrupt the supply chains in the coming weeks.

The development of information and communication technologies (ICT) has to meet the needs of farmers and sustainably support the competitiveness of agriculture in a rapidly changing digital world. Under certain conditions of use, digital tools could facilitate the application to agriculture of the historical, methodological and socio-economic principles defining agroecology. This chapter is composed of four sections. In the first section we define a framework to study agricultural IC tools.

Digital Agriculture is an “intelligent” computer management and application system that includes many high technologies of, such as infomationization, digitization, network, automation and more so on. On the basis of analyzing the main content and meaning of “Digital Agriculture”, this paper designs the system construction of “Digital Agriculture” based on Internet, and discusses the function and structure of main core modules of System of Digital Agriculture in detail. Finally, this paper also analyzes the developing trend about system of “Digital Agriculture”

The objective of this paper is to review both supply- and demand-side measures for climate-smart agriculture and discuss their interlinkages, trade-offs, and context- and site-specific validity. The literature reviewed focuses on studies during the last decade (2008–2017) addressing food- and feed-related measures. Based on the literature review, potentials for different measures are identified and mapped across the globe using representative datasets.

The efforts to adapt to climate change in developing countries are in their infancy, and hopefully CSA will be a major contributor to these efforts. But CSA itself is evolving, and there is a growing need to refine and adapt it to the changing realities. This section of the book focus on the implications of the empirical findings for devising effective strategies and policies to support resilience and the implications for agriculture and climate change policy at national, regional and international levels.

Rural growth is seen as an engine to drive the economy of developing countries and the use of Agriculture Market Information Services (AMIS) is believed to enable this growth. This paper is based on a literature study and investigates the spread and use of AMIS in the least developed countries (n=49) in terms of users, management, funding, infrastructure, and data. This paper investigates success as well as failure aspects, and discuss the role of new technologies.

The chapter presents a research for development program’s shift from a Logframe Approach to an outcome and results-based management oriented Monitoring, Evaluation and Learning (MEL) system. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) is designing an impact pathway-based MEL system that combines classic indicators of process in research with innovative indicators of change. The chapter presents the approach to theory of change, impact pathways and results-based management monitoring, evaluation and learning system

In direct agri-food chains (DAFCs), farmers and consumers are brought together with the aim of shortening, localizing and synergizing an agri-food chain. As food moves from the farm to the fork, all the economic activities are performed by farmers/producers or consumers, and none intermediary is required to handle an agri-food product before it is consumed. Any DAFC form provide a sort of liminal space for social learning and for local lay knowledge exchange, through face-to-face interactions.