The usual linear top-down approach of the innovation process has been transformed into an 'ecological vision' in which regions make up the appropriate scale for the elaboration of agricultural innovation systems (AIS). Interfaces such as institutional arrangements have been created in industrial countries. However, there is still a lack of interaction among parties involved in innovation for the agricultural sector, especially in the outermost regions and in developing countries.

Agricultural Innovation Systems (AIS) approach, arise as tool for better understanding dynamics and complexity of agricultural innovation. The objective of this article is present a framework for AIS capability development, taking as a scientific reference, emerging economy countries experiences. A multi-dimensional methodology of literature review and content analysis is implemented, supported in bibliometric and data mining techniques.

Synergy among the various components of national agricultural innovation systems (AISs) promotes agricultural development. This paper investigated the innovation synergy among the various innovation elements of national AISs. First, the authors developed a synergy analysis model consisting of three innovation variables (innovation allocation, innovation output, and innovation potentiality) and one control variable (government policy supports).

Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders.

Agricultural innovation happens at different scales and through different streams. In the absence of a common global research agenda, decisions on which innovations are brought to existence, and through which methods, are taken with insufficient view on how innovation affects social relations, the environment, and future food production. Mostly, innovations are considered from the standpoint of economic efficiency, particularly in relationship to creating jobs for technology-exporting countries.

ecause the climate has been rapidly changing and undermining the sustainability of the agriculture sector, Agricultural Extension and Rural Advisory Services (AERAS) need to rethink their contemporary roles and initiatives. Although enhancing agricultural innovation is considered a key process to increase farm income and ensure sustainability under complex climate-affected development conditions, little is known how AERAS can support the process in the said context. A broad range of literature was reviewed and a deductive coding approach was followed to analyze the literature.

All over the world, one of the main purposes of extension is to increase the level of living standards of the rural family through non-formal education. Extension has a very crucial role to play in sustainable development and organic agriculture. For that reason, extension activity is implemented by different institutions. Extension systems worldwide are operated by governmental (86%) and non-governmental (14%) organizations. In this paper, allelopathy is accepted as a technology to implement for weed control and biological control of other useful traits.

Innovation is often presented as one of the main catalysts for more sustainable and inclusive development. In the agricultural and food sectors, innovation is characterized not only by specificities arising from its relationship to nature, but also from the wide diversity of its stakeholders, ranging from farmers to consumers, and including intermediaries such as the research community and advisory services. Innovation emerges from interactions between these actors, who mobilize resources and produce knowledge in collaborative mechanisms in orderto generate changes.

The agricultural Internet of Things (Ag-IoT) paradigm has tremendouspotential in transparent integration of underground soil sensing, farm machinery,and sensor-guided irrigation systems with the complex social network of growers,agronomists, crop consultants, and advisors. The aim of the IoT in agriculturalinnovation and security chapter is to present agricultural IoT research and paradigmto promote sustainable production of safe, healthy, and profitable crop and animalagricultural products.

The analysis of the concept of resilience in supply chain management studies mostly focuses on the downstream side of the value chain and tacitly assumes an unlimited supply of raw materials. This assumption is unreasonable for agricultural value chains, as upstream disruptions clearly have a material impact on the availability of raw materials, and indeed, are a common source of supply problems. This paper aims to present a framework for the operationalisation of the concept of socioecological resilience in agricultural value chains that incorporates upstream activities.