Agricultural mechanization in developing countries has taken at least two contested innovation pathways—the “incumbent trajectory” that promotes industrial agriculture, and an “alternative pathway” that supports small-scale mechanization for sustainable development of hillside farming systems.
The general aims of this chapter are to provide an overview of the historical development of rural advisory and knowledge provision in Vietnam, and how legal frameworks have changed over time, demonstrate how more client-centered extension approaches can be translated and utilized at the field level, and focus on examples of novel approaches to knowledge generation and diffusion, those currently evolving due to initiatives driven by state, private and NGO actors, or developed within the framework of the Uplands Program.
Working with women in the agriculture sector in Pakistan poses a challenge as agricultural extension and development staff are predominantly male and interactions for women with men outside the family are culturally not acceptable. At the same time, women in Pakistan play an equal role in agriculture as well as taking responsibility for household chores, including cooking and taking care of the nutrition of the family.
Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers' income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT. Firstly, the current situation of agricultural IoT is illustrated and its system architecture is summarized. Then, the five key technologies of agricultural IoT are discussed in detail.
This review paper is based on secondary information. It presents the external (policy, technical assistance, public institutions and the private sector) and internal (institutional structures, objectives/programmes) factors that impact on agriculture development in general in developing countries with special focus on Pakistan. The contents carry the literatures that deal with such factors, starting with discussion on the comprehensive analysis of the role of extension services accompanied by its pros and cons, as well as the meager agricultural services in developing countries.
The sector review includes seven chapters and one annex. This first chapter is an overview of agriculture, irrigation and the purpose and content of this report. The second chapter provides a review of the Bank s own strategy and priorities for irrigation and drainage within its portfolio of investments, from the time of its 2004 Strategy until the present. It also includes a short summary of key lessons learned in this sector.
This presentation outlines the following topics:a) Changing Context of Agricultural Technology Transfer: Emerging Realities in Asia-PacifiC; b) Technology Transfer within the Agricultural Innovation System; c) Agricultural Extension in Agricultural Innovation System; d) Supply Chain Management Approach and the Role of Extension; e) Major Areas for Mobilizing the Potential of Agricultural Extension/Rural Advisory Services.
This review's objectives were to examine the structure and performance of the agricultural research and extension systems (public and private) at the central and provincial levels, identify successes as well as constraints to improving the system s effectiveness for fostering innovation, and propose options for further policy and institutional development, drawing on lessons from international experience. The review focused principally on nonplantation crops, although its main recommendations apply across the agricultural sector.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
Recent Society 5.0 efforts by the Government of Japan are aimed at establishing a sustainable human-centered society by combining new technologies such as sensor networks, edge computing, Internet of Things (IoT) ecosystems, artificial intelligence (AI), big data, and robotics. Many research works have been carried out with an increasing emphasis on the fundamentals of wireless sensor networks (WSN) for different applications; namely precision agriculture, environment, medical care, security, and surveillance.