Climate change and conflicts co-exist in many countries with significant welfare and socio-environmental implications. Different approaches are being promoted to adapt and build resilience to these fragilities including the adoption of sustainable farm practices that have the potential to increase agricultural productivity and maintain environmental sustainability. We undertake a systematic review and perform a meta-analysis to understand and synthesize the adoption and impacts of agricultural technologies and natural resource management practices with a special attention to fragile and conflict affected settings. We employ state of the art machine learning methods to enable process and selection of appropriate papers from a universe of over 78,000 papers from leading academic databases. We find that studies on adoption and impact of agricultural technologies and natural resource management practices are highly clustered around Ethiopia and Nigeria. We do not find any studies on Small Island States. We observe a wide array of characteristics that influence adoption of these technologies. Of the over 1400 estimates of determinants collected, majority predict input technologies while very few studies and estimates are found in relation to risk management and mechanisation technologies. Our meta-analysis shows an average effect size of 7 - 9% for the different technologies and practices. For the outcomes: land productivity, food security and household welfare, we obtain effect sizes of 6, 8 and 9% respectively. We do not observe much in terms of publication bias. Both climate and conflict vulnerability not only cause far more food insecurity, poverty, and degradation of the environment on their own but also reinforce each other through the climate change – conflict linkage. For these detrimental effects to be curtailed, utilisation of climate-smart agricultural technologies and natural resource management practices need to be encouraged. We thus lend credence to the development, dissemination and upscaling of these sustainable practices. We observe a lot of space for growth and adoption of these technologies.

Innovation is a major challenge for economic development and social progress. Faced with the ecological and food problems that the world is currently experiencing, the legitimacy of innovation takes on its full meaning, particularly in developing countries. As emphasized by international organizations (UN, FAO), building skills and abilities in the agricultural and food sectors are necessary when launching innovation processes for the benefit of suffering populations. This book deals with different experiences launched in many developing countries in these sectors and shows how local initiatives can provide answers to the pessimism of experts and the media. Multidisciplinary analysis and practices explain how collective work creates value chains that can foster local and national economic development. The authors revisit the innovation agri-food models that contribute to economic development. Agri-Innovations and Development Challenges is composed of general presentations of innovations applied in developing countries, as well as specific studies on the joint valorization of knowledge and experience in agri-food engineering

The Million Farmers School (MFS) is an innovative extension program initiated by the Department of Agriculture in the state of Uttar Pradesh, India, in 2017. Twice in a year, the department deploys its entire extension machinery to organize nearly 15,000 training programs for about a million farmers across all districts of the state. Unlike traditional extension services, MFS integrates various facets of agricultural knowledge into a packaged product and delivers through village-level trainings where printed material on the topics of training are also distributed among participants. This study presents early findings of a process evaluation, involving assessments of program design, implementation strategies, and estimation of benefits from program participation. In addition to consultation with public officials and community organizations, a state-level representative survey was conducted on a sample of both participating and non-participating households. The early results based on matching and instrumental variable methods—suggest that knowledge outcomes are significantly better among participants vis-à-vis non-participants. The results are robust to different model specifications. The study also qualitatively assesses various aspects of the program’s design and implementation, highlighting the constraints and challenges it faces and offers implementation advice for greater efficacy in its future course.

Extension and advisory services (EAS) are well recognized as a key factor in contributing to agricultural productivity and growth. However, rigorous evaluation of EAS approaches and assessment of complex national or subnational pluralistic EAS systems are rare. This working paper examines the literature on experiential and empirical insights and explores methods to assess complex pluralistic EAS systems. The authors present conceptual thinking on innovation systems and EAS, and review the IFPRI “best-fit” framework. This framework remains relevant because it is based on a holistic perspective with an impact pathway orientation. The paper aims to operationalize and improve the best-fit framework to guide the evaluation of complex EAS systems. The authors draw on and summarize existing literature to illustrate methods and tools used to analyze each component of the framework. The review pays close attention to the literature and methods for assessing the diversity of service providers and their various delivery tools and learning approaches. The discussion also pays close attention to the interaction of each component and how it affects the performance and impact of EAS from a systems perspective. This paper adds key points and considerations on how to operationalize the best-fit framework to carry out evaluations of pluralistic EAS.

The FAO estimated that five out of six farms in the world are operating less than two hectares of land, suggesting that small-holder farmers are producing over one-third of the global food. The cropping systems practiced by smallholder farmers play a vital role in agri-food production systems and help to reduce hunger, improve nutrition, and provide livelihoods to millions across the developing countries. The performance of these cropping systems has a direct impact on achieving the multiple Sustainable Development Goals (2030) of No Poverty (SDG 1), Zero Hunger (SDG 2), and Good Health and Wellbeing (SDG 3). System intensification is now widely recognized as an essential pathway to achieve food and nutrition security in developing countries. The numbers of smallholder farmers are rapidly increasing in both developing and underdeveloped countries, however, they are increasingly facing challenges to run profitably. Cropping system intensification (CSI) could be one of the ways to make such production systems more remunerative for these farmers.