23 pages., via online journal, Cultured meat has yet to reach store shelves but is nonetheless a growing issue for consumers, producers, and government regulators, many of whom have taken to social media to discuss it. Using a conceptual framework of social cognitive theory and issues management, this qualitative content analysis investigated social-media discourse surrounding the topic of cultured meat in the United States by describing the content of the discussion in late 2018 and identifying individual influencers and communities of influencers engaged in the discussion. Data were collected from Twitter using listening platform Sysomos MAP. The thematic analysis revealed eight themes: legality and marketing, sustainability, acceptance, business, animal concerns, science and technology, health concerns, and timeline, and indicated that conflicting views and questions about cultured meat exist among conversation participants. Top influencers included philanthropists, government officials, journalists and writers, and animal-welfare advocates. These influencers were grouped into four distinct communities based on interactions with each other and other users. The topics identified in the analysis provide insight into ways in which communicators can enter these conversations, and influencer communities represent groups of users whose broad reach could more easily transmit pro-agriculture messages.
5 pages., 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. The results of Validity and Reliability Test gave a valid outcome with rcal >0,3 and reliability value of α >0,6 in all variables. Fishbein’s Attitude Model test in all variables showed an answer from neutral to very positive data. Linear Regression Test resulted in an
equation Y = -6,234+ 0,211 X1 + 0,213X2 + 0,550 X3 + 0,119 X4 + 1,252X5 + 0,665X6. The
value of determination coefficient (R2) was 0,816 which meant that variable variance of
Information and Communication Technology acceptance could be explained by data
variance of extension officers’ attitude and readiness (farmer readiness, extension officers readiness, infrastructure, management support, culture support) in values of 81,6%. In F test, Fcal was = 44,683 and was significant in p < 0,05, which meant that the effects of extension officers’ attitude and readiness to Information and Communication Technology acceptance.
6 pages, Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centered around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.
14 pages., via online journal, With shifting demographics of agricultural professionals, online educational resources present opportunities for Extension and other natural resources faculty and personnel to use various tools for supporting agricultural producers in the 21st century using more modern technology. Traditionally, Agriculture and Natural Resource (ANR) Extension programming has used a variety of hands-on methods for teaching new, more sustainable farming practices, such as on-farm field days, workshops, farm visits, and demonstrations. While these traditional teaching methods are preferred among farmers, online support tools play a critical role in the overall decision-making process for farmers who are considering making changes to their current farming practices. Online educational resources, with mobile-friendly versions, can be used to assist Extension and Natural Resource Conservation Service (NRCS) agents meet the needs of their clients using more modern forms of technology, whether from the office or on-farm. This study employed two focus group discussions with Extension and NRCS agents and university faculty members to evaluate the usability of a cover crop website that could be used as a support tool for a variety of agricultural professionals. Four themes emerged from this study with reference to a simple, clean appearance; efficient browsing; process-thinking design; and mobile- friendly. This research will be used to inform the continued development of website tools to benefit farmers, producers, agents, and other stakeholders.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 204 Document Number: D12483
Notes:
Book Chapter, 37 pages in "Food Technology Disruptions"
ISBN: 9780128214701, Globally, various digital platforms are efficiently explored to provide information in various sectors. In many developing countries, the majority of the main population occupation is agriculture. Traditional extension services are limited by lack of extension personnel, expertise, up-to-date information regarding market access, timeliness, information storage. Therefore, digitalization can be critical in overcoming such limitations through the utilization of various information and communication technology (ICT) tools; Decision support systems, databases, Agri-based Apps, KIOSK. These advanced approaches will not only support the extension and farming communities but also improve their skills and uplift them in contributing to an increased national GDP. This chapter covers various digital tools and their efficiency with a supporting case study on utilization and impact of digital extension services (DES) on farmer’s knowledge in terms of agricultural practices in selected villages of Belagavi district, Karnataka, India. In conclusion, digital extension services play a vital role in the dissemination of updated information for improving agricultural supply chain management.
Pages 121-147 in Scaling-up Solutions for Farmers., In most of the developing countries in Asia and Africa large yield gaps are existing between the current farmers’ yields and potential achievable yields. The necessity of meeting the farmers’ requirement to scale up research results is paramount for adequate food production. This requires empowerment of farmers by answering queries of farmers appropriately through different extension channels including state and central machineries. These are the backbone of the agricultural technology development to empower farmers as the major stakeholders and hence requires attention. Lack of awareness among farmers about good agricultural management practices compel them to follow the traditional practices. All agricultural education and research, ultimately aims at increased productivity and economic well-being of farmers. This is possible only when there is a minimum gap between laboratories and land. This gap is bridged by agricultural extension. But human capacity, the content of the information, processes of delivery and technology determine effectiveness of extension services. Non-availability of sufficient extension personnel is a major constraint. To overcome these shortcomings, e-Extension (eE) is the alternative. It is important to rejuvenate the agricultural extension system (AES) with innovative information communication technology (ICT) models for knowledge generation and dissemination. Latest digital technologies are discussed in this chapter on ICT to empower farmers to scale up for reaching the required target of food production with special reference to Indian scenario.
There is an urgent need to transform neglected knowledge delivery systems by strengthening the science of delivery which has been neglected by the researchers/development worker/policy makers alike. Availability of new technologies such as information technology (IT), internet of things (IoT), audio and video using cell phones, geographical information system (GIS), simulation modelling, remote sensing (RS) open up new vistas for effective knowledge delivery for achieving the impacts on ground. This will help to cross the “Death Valley of Impacts” for achieving the zero hunger goal by adopting innovative approaches/tools and partnerships.
