On-farm agricultural innovation through incorporation of new technologies and practices requires access to resources such as knowledge, financial resources, training, and even emotional support, all of which require the support of different actors such as peers, advisors, and researchers. The literature has explored the support networks that farmers use and the overall importance ranking of different support actors, but it has not looked in detail at how these networks may differ for different farmers.
This paper examines the determinants of participation in an outsourced extension programs and its impact of smallholder farmers' net farm income in Msinga, KwaZulu-Natal, South Africa. A multi-stage sampling technique was used to obtain cross-sectional farm-level data from a sample of 300 farm households, using a structured questionnaire for the interview. The determinants and impacts of participation were estimated using the propensity score matching (PSM) to account for sample selection bias.
The paper is structured as follows. First, definitions and conceptualisations of trust are considered, before moving on review the literature on trust in rural network models of business support. Next, the empirical study design is described, which consisted of case studies of business advice programmes offered to artisanal food enterprises in Northern Ireland and displaying varying degrees of trust. The results of the empirical study are reported and then discussed, with reflections on how trust evolved in each case, and the ways in which trust was lost
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.
Digitalisation is widely regarded as having the potential to provide productivity and sustainability gains for the agricultural sector. However, there are likely to be broader implications arising from the digitalisation of agricultural innovation systems. Agricultural knowledge and advice networks are important components of agricultural innovation systems that have the potential to be digitally disrupted.
The paper explores the strength of social networks in the agricultural innovation systems (AISs) in Ghana and the effect of AISs on adoption of improved farm technology. The paper uses social network analysis (SNA) tools to identify, map and analyze the AISs and the two-stage Heckman selection model. Combining qualitative and quantitative methods allows testing the differential effects of social networks on technology adoption in the Ghananian Plantain Sector
Agriculture developments have revolutionized the overall agricultural practices however, the small farmers are still suffering as they were not able to cope with the fast-paced changes. Thus, it still poses a threat to their survival. The study has attempted to explore how the environment can motivate a small farmer to adopt the agriculture extension. The study also examined how environment stimulates the intrapreneurship of a small farmer. For this purpose, data was collected from the farmers of Thailand and Smart-PLS was used for data analysis.
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 need of Farmer Producer organizations (FPo) was felt to overcome the problems of unorganized small farmers who lack access to resources and services. FPos emerged as an interface between small farmers and the external world by providing forward and backward linkages, giving them required voice, market access, bargaining power, economy of scale and better prices. Among different tangible and intangible benefits, marketing related benefits like access to different market channels, decrease in risk, decrease in transaction cost, economy of scale etc.
Recent research on agricultural innovation has outlined social networks’ role in diffusing agricultural knowledge; however, so far, it has broadly neglected the socio-spatial dimensions of innovation processes. Against this backdrop, the authors applies a spatially explicit translocal network perspective in order to investigate the role of migration-related translocal networks for adaptive change in a small-scale farming community in Northeast Thailand.