Education is a fundamental human right and a crucial tool for sustainable human capacity development, which can advance the economic growth of a country. Yet for many children in sub-Saharan Africa (SSA), quality education remains out of reach. This study aimed to identify the barriers and challenges to enacting Sustainable Development Goal 4: “Ensuring Inclusive, Equitable, and Quality Education and the Promotion of Lifelong Learning Opportunities for All”. Through a content analysis of the relevant literature, we identified three themes: funding constraints, access and inclusion, and teacher education. Regarding funding, issues of resource allocation, technical capacity, and accountability were identified as primary factors requiring intervention strategies to become fully realized in SSA. When exploring access and inclusion, we found that incorporating students with disabilities, gender disparities, physical barriers, and inadequate curriculum are essential factors limiting quality education in SSA. Finally, teachers’ conditions and training emerged as crucial challenges to reach quality pedagogy. Some SSA countries have improved their efforts for quality education, but these barriers and challenges continue to impact education for all children. A new perspective on mitigating these impediments can address several factors responsible for the exclusion of diverse groups from accessing quality education in the SSA region.

Precision agriculture (PA) is a holistic, sustainable, innovative systems approach that assists farmers in production management. Adopting PA could improve sustainable food security and community economic sustainability. Developing an understanding of PA adoption attributes is needed in order to assist extension practitioners to promote adoption and better understand the innovation adoption phenomena. A systematic review of literature was conducted to investigate attributes that foster PA adoption. Thirty-three publications were examined, and four themes were found among the reviewed publications. The results were interpreted using Rogers’ diffusion of innovations framework to address the research objectives. Relative advantage and compatibility were two dominant attributes needed to strengthen the adoption of PA, and the complexity attribute was rarely communicated to promote the adoption of PA. The systematic review indicated the rate of farmer’s PA adoption does not occur at the highest potential levels due to inadequate communication of PA attributes from change agents to farmers. Extension field staff need professional development in communicating the five PA adoption attributes to farmers in order to improve PA adoption and enhance local sustainable food security. Thus, authors recommend future complexity studies from agricultural extension specialists’ perspectives to comprehend demonstratable approaches to motivate farmers’ adoption of PA.

The study sought to: (1) evaluate agriculturalists’ characteristics as adopters of IoT smart agriculture technologies, (2) evaluate traits fostering innovation adoption, (3) evaluate the cycle of IoT smart agriculture adoption, and, lastly, (4) discern attributes and barriers of information communication. Researchers utilized a survey design to develop an instrument composed of eight adoption constructs and one personal characteristic construct and distributed it to agriculturalists at an agricultural exposition in Rio Grande do Sul. Three-hundred-forty-four (n = 344) agriculturalists responded to the data collection instrument. Adopter characteristics of agriculturalists were educated, higher consciousness of social status, larger understanding of technology use, and more likely identified as opinion leaders in communities. Innovation traits advantageous to IoT adoption regarding smart agriculture innovations were: (a) simplistic, (b) easily communicated to a targeted audience, (c) socially accepted, and (d) larger degrees of functionality. Smart agriculture innovation’s elevated levels of observability and compatibility coupled with the innovation’s low complexity were the diffusion elements predicting agriculturalists’ adoption. Agriculturalists’ beliefs in barriers to adopting IoT innovations were excessive complexity and minimal compatibility. Practitioners or change agents should promote IoT smart agriculture technologies to opinion leaders, reduce the innovation’s complexity, and amplify educational opportunities for technologies. The existing sum of IoT smart agriculture adoption literature with stakeholders and actors is descriptive and limited, which constitutes this inquiry as unique.

Purpose: The purpose of this study was to describe selected Caribbean extension officers' technology preferences and examine factors that may affect their technology preferences. Design/methodology/approach: The sample consisted of extension officers (N = 119) participating in professional development training sessions in Grenada, Belize and Saint Lucia. A 29-item instrument with a four-point scale was used to gather data on technology preferences. Descriptive and inferential statistics were used to analyse the data. Findings: Extension officers used Information Communication Technologies (ICTs) for personal benefits and increased professional productivity but then would use traditional interaction methods with farmers. Education levels of extension officers played a part in technology acceptance; higher levels of education earned led to an increase in technology use. Practical Implications: An increase in awareness is important for the further adoption of ICTs for extension purposes. Organisations in both the public and private sector must work to increase knowledge of ICTs for the benefit of stakeholders. The use of ICTs can increase productivity for extensions officers and expand educational opportunities for learners. Originality/value: The use of information communication technologies (ICTs) by extension to disseminate educational materials around the world is widespread. While ICTs exist, extension officers' level of acceptance in using technology for their core job functions may prohibit the dissemination of ICTs to farmers. Increasing awareness and use of ICTs can lead to more productive relationships between extension officers and agricultural stakeholders.

This article investigated household-level food security for Ghana, Liberia, and Senegal. Different agroclimatic, ecological, social, and farming conditions in West Africa were represented. Using data-driven Random Forest and Chi-Square Automatic Interaction Detection (CHAID) decision tree methodology, this study classified 644 Ghanaian, 323 Liberian, and 510 Senegalese households for comparison and interpretation on food security. The predictors growing Liberian and Senegalese decision trees imply community support, diverse selling channels outside villages, resolving the dispute over farmland, and increasing community-level investment for food availability and access demonstrate household food security. Predictor importance on food security for Ghana highlighted the role of independent producers and food suppliers toward stability. Household food security or insecurity was distinguished by location-specific and gender-led households in Liberia and Senegal. Practically, the results presented a need to step-up agricultural education and extension based on an empirical field survey and its interpretations. The results can add considerations to the role of farming households as independent and individual suppliers and consumers to long-standing dimensions of food security, i.e., food availability, access, and stability.

Precision agriculture (PA) is a holistic, sustainable, innovative systems approach that assists farmers in production management. Adopting PA could improve sustainable food security and community economic sustainability. Developing an understanding of PA adoption attributes is needed to assist extension practitioners to promote adoption and better understand the innovation adoption phenomena. A systematic review of literature was conducted to investigate PA adoption. Thirty-three publications were examined, and four themes were found among the reviewed publications. The results were interpreted using Rogers’ diffusion of innovations framework to address the research objectives. Of the reviewed literature, we found relative advantage and compatibility were two dominant attributes to strengthen the adoption of PA, and the complexity attribute was rarely used to promote the adoption of PA. This study shows that change agents do not fully use five attributes of innovation when they promote PA technology to stakeholders to adopt. Thus, we recommend studies from the agricultural extension specialists’ perspectives in the future may determine contributions to motivate farmers’ adoption of PA, in particular related to complexity.