This is a chapter of the book Innovation Platforms for Agricultural Development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
This chapter explores the interrelationships between economic change and environmental issues, by showing how aspiration, education, and migration are variously connected to a loss of agroecological knowledges for rural young people. It reviews a series of case studies from Vietnam, India, and China on the implications for rural youth of changed aspirations and ecological and economic stress. The economic and cultural pressures of globalization mean young people increasingly aspire for a life outside of agrarian- and natural resource-based livelihoods.
This paper has been prepared by S. Mohan, Professor of Agricultural Entomology at the TamilNadu Agricultural University (Coimbatore, TamilNadu, India), as a success story that can be shared in Educational Programme for Capacity Development for Agricultural Innovation. The document discusses technologies for timely detection of insects in the stored products and timely control measures.
A network of women farmers’ leaders is set to drive widespread adoption of innovations and technologies across India. The International Rice Research Institute (IRRI), together with the Department of Biotechnology of India’s Ministry of Science and Technology, are training women farmer leaders on advanced rice production and soft skills to help boost food security in India.
This brief summarizes the main activities carried out by the 15 international agricultural research centers of the global research partnership for a food secure future CGIAR and their affiliated institutions develop innovative solutions for sustainable agriculture
This report documents those detailed gender dimensions of root and tuber crops (RTC) farming practices, showing how differently men and women engage in them, and it also provides a critical analysis of the gender considerations required for interventions. There are certain commonalities across field sites in the four countries.
In this paper, we examine the effectiveness of e-tendering system for pigeon pea in Karnataka and explore stakeholders’ perceptions regarding online trading to better understand the challenges in implementation of this innovative agricultural marketing initiative. Rest of the paper is organized as follows: Section 2 provides background on e-tendering process in Karnataka. Data and methodology are discussed in the third section, fourth section presents the results, and is followed by the section discussing the salient findings and lessons learnt.
This article analyses spatial innovation dispersion and also level of innovation development across the crop sector. For this, five crude indicators viz. Mechanisation indicator, Vulnerability indicator, Concentration indicator, Stability indicator and Adoption indicator were constructed which determined the direction of innovation. Agricultural Innovation System encompasses both the facets of technology development and technology dissemination. However, much concentration and efforts were exerted on innovation and technology development part while the other part i.e.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
The main purpose of this paper is to examine the relationship between trainers’ qualification and learning success and satisfaction of small-scale farmers during training activities in Bihar, India. Moderated mediation analysis is utilized to measure the direct and indirect effects of trainers’ qualification on learning success and satisfaction. Therefore, the psychological constructs of attitude and perceived control from the Theory of Planned Behaviour (TPB) operate as mediators, subjective norms act as moderator, and gender and age serve as covariates