Agricultural Innovation System (AIS) is a collection of institutions enabling agricultural and food system transformation in a country. Any attempt to engage in emergency interventions by institutions and bounce back with higher levels of resilience requires strong organizational and human capacity as a prerequisite. What role do these institutions play in emergencies such as COVID-19 and how can they bounce back after such a crisis is over? What can be done to help these institutions build resilience capacity for such recovery?
Technological influence was a great support for judgment-making in various fields, especially in agriculture. Agriculture production has been on the rise over recent years due to a lack of knowledge of agriculture and ecological shifts. The main goal of this system is to accomplish farmers in e-Agriculture of their wakefulness, usage, and observation. The study used a technique of numerical study design to collect data from farmers for their e-commerce awareness The data gathered indicate there is less understanding that there is a need for help for e-agriculture.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).
The advancement of agriculture sector in one region cannot be separated from the role of agricultural extension in the region. To cover the deficiency of agricultural extension agents, self-supporting extension agents are recruited from farmers or private parties. This study aims to analyze the role of self-supporting instructors in improving farmer institutions and analyze factors related to the role of self-supporting extension agents in improving farmer institutions.
This article surveys the trends in agricultural extension programmes and services found across the world, including privatization, decentralization, and pluralism. The general movement from top-down extension services to demand-driven programmes is explored along with its impact on the skills needed by extension professionals.
This research aimed to figure out the attitude and readiness of agriculture extension officers in using the Information and Communication Technology. Data collection was done through a survey with total sample 60 respondents. Data gained were primary data from questionnaire filling by respondents who were all extension officers in Food Security and Extension Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test.
Agriculture is the back bone of Indian economy. Time bound high-quality agro services are essential for the growth of agriculture in our country. The present study was conducted among the beneficiary farmers Agro Service Centres in Kerala, during the year 2018-19. The sample of the study comprised 120 farmers from purposively selected 26 Agro Service Centres. Performance effectiveness of Agro Service Centres was measured in terms of Performance Effectiveness Index (PEI).
Present research set out the public and private agricultural extension services with the term of human resources practices. Five districts, one from each ecological zone, were taken purposively: namely Kech, Lasbela, Kalat, Killa Saifullah and Sibi. A sample of (250) farmers and (100) public and private Extension Field Staff (EFS) was taken as sample size by using the multi-stage random sampling technique. Null hypothesis was also tested in order to know the variances in the perceptions of the respondents.
The mobile phone technology is an important tool to enhance farmers’ to access better marketing services, agricultural extension services, health extension services and other mobile services. This study also tried to assess rural households’ mobile phone usage status for different rural innovation services in Gomma Woreda, Southwest Ethiopia. Structured interview schedule, focus group discussion, key informant interview and personal observations were used as a method of data collection tools for this study.
mNutrition was a five-year global initiative supported by the Department for International Development (DFID) between 2013 and 2018, organised by GSMA and implemented by in-country mobile network operators (MNOs) and other providers. The evaluation was carried out by a consortium of researchers from Gamos, the Institute of Development Studies, and the International Food Policy Research Institute. This briefing summarises key evaluation findings and presents lessons learned on three key topics: 1.