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Agricultural education and training (AET) institutions will play a strategic role in helping to prepare Africa’s rapidly growing youth populations for productive careers in agriculture and related agri-businesses. The purpose of this paper is to examine the magnitude of skills and youth employment needs emanating from high-population growth rates. It then explores how agricultural education institutions are responding to these challenges in four different countries at different levels of food system development: South Africa tier 1, Tanzania in tier 2 and Malawi and Uganda in tier 3.

Demographic and school enrollment data provide information on the magnitude of job market entrants at different levels of education while Living Standards Measurement Studies in the respective countries provide a snapshot of current skill requirements in different segments of the agri-food system. In order to evaluate AET responses, the authors have conducted country-level reviews of AET systems as well as in-depth assessments at key tertiary AET institutions in each of the four case study countries.

Growth rates in primary school enrollments are high in sub-Saharan Africa. At the same time, because of budgetary constraints, transition rates decline rapidly – about 40 percent from primary to secondary and 7 percent from secondary to tertiary. As a result, substantial numbers of primary and secondary school graduates seek jobs.

The case study countries are limited to four. Had more financial resources and time been available, researchers could have spread further afield and in so doing increasing the precision of the results.

Estimation of the number of primary and secondary school leavers seeking employment because of failure to proceed to the next level of education. Estimation of the level of education shares in the various components of the agri-food system.

This study aims to explore possible ways to promote uptake and integration of climate-smart agriculture (CSA)-Technologies, Innovations and Management Practices (TIMPS) into policy and practice in Nigeria through the development of actionable roadmaps to facilitate the process.

Two hundred and fifty-two stakeholders for the policy discourse and survey were purposively drawn from both government and private agencies, NGOs and community-based associations from the six geo-political zones of the country. Data collection was done using a mixed method comprising questionnaire administration, in-depth interviews and panel discussion. Data collected was summarised using descriptive statistics.

The major findings were lack of existing policies on CSA, lack of farmers’ awareness of CSA-TIMPs, neglect of extension programmes that can help to enlighten farmers on the importance of CSA and insufficient extension personnel to cater for farmers’ needs. Challenges to CSA-TIMPs uptake in Nigeria were: insufficient funding and support by government in programme planning and implementation, policy inconsistencies and poor farmers’ attitude and resistance to change.

This research will facilitate CSA uptake and integration through the provision of data for informed decision and action by the responsible agencies.

Suggested actionable roadmaps across the zones were robust awareness campaign and advocacy on uptake of CSA-TIMPs through e-extension, community TV/radio in local dialects; revitalisation of policy programmes such as monthly meetings should be reintroduced and creation of CSA Departments/Stations in each state; increased budget allocation to a minimum of 10% for agriculture, revitalisation of Researchers-Extension Agents-Farmers Linkage, employment of qualified extension agents and retraining of extension agents.

The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change are a threat to agricultural productivity worldwide. However, the combined effects of climate change and salinity impacts on farmers' income are not well understood, particularly in developing countries.

The response-yield function and general maximum entropy methods were used to predict the impact of temperature, precipitation and salinity on crop yield. The target minimization of total absolute deviations (MOTAD)-positive mathematical programming model was used to simulate the impact of climate change and salinity on socioeconomic and environmental indicators. In the end, a multicriteria decision-making model was used, aiming at the selection of suitable climate scenarios.

The results revealed that precipitation shows a significantly decreasing trend, while temperature and groundwater salinity (EC) illustrate a significantly increasing trend. Climate change and EC negatively impact the farmer's income and water shadow prices. Maximum reduction in income and water shadow prices was observed for A2 scenario (−12.4% and 19.4%) during 2050. The environmental index was the most important, with priority of 43.4% compared to socioeconomic indicators. Subindex amount of water used was also significant in study area, with 28.1% priority. The technique for order preference by similarity to ideal solution ranking system found that B1 was the best climatic scenario for adopting climate change adaptation in the research region.

In this study, farmers' income threats were assessed with the aspects of different climate scenario (A1, A1B and B1) over the horizons of 2030, 2040 and 2050 and three different indicators (economic, social and environmental) in Northwestern region of Pakistan. Only in arid and semiarid regions has climate change raised temperature and reduced rainfall, which are preliminary symptoms of growing salinity.

Robert J. Antonio is Professor of Sociology at the University of Kansas, Lawrence, Kansas, USA. His e-mail address is anto@falcon.cc.ukans.eduArmando Bartra is a Sociologist, Historian, and President of the Instituto Maya, in Mexico City, Mexico. The Instituto Maya has worked for the past 30 years with peasant and indigenous groups on leadership, capacity building, micro-credit, and related rural development projects. His e-mail address is circo@laneta.apc.orgMichael Mayerfeld Bell is Associate Professor of Rural Sociology at the University of Wisconsin-Madison, Madison, Wisconsin, USA, and Collaborating Associate Professor of Sociology at Iowa State University, Ames, Iowa, USA. His e-mail address is michaelbell@wisc.eduGisela Landázuri Benı́tez teaches Rural Development at the Universidad Autónoma Metropolitana, Xochimilco, Mexico City, Mexico. Her e-mail address is giselalb@prodigy.net.mxAlessandro Bonanno is Professor of Sociology and Chair of Sociology at Sam Houston State University in Huntsville, Texas, USA. His e-mail address is soc_aab@shsu.eduLawrence Busch is University Distinguished Professor of Sociology at Michigan State University, East Lansing, Michigan, USA. He is also Director of the Institute for Food and Agricultural Standards, and a Past President of the Rural Sociological Society. His e-mail address is Lawrence.Busch@ssc.msu.eduJorge Calbucura is a Senior Researcher at the Department of Sociology at the University of Uppsala, Sweden. His e-mail address is Jorge.Calbucura@soc.uu.seMaria del Mar Delgado is Assistant Professor of Rural Development at the Department of Economics, Sociology, and Agriculture Policy, University of Cordoba, Cordoba, Spain. She is a member of the Rural Development Team at the University of Cordoba. Her e-mail address is mmdelgado@uco.esCornelia Butler Flora is Charles F. Curtiss Distinguished Professor of Agriculture and Professor of Sociology at Iowa State University, Ames, Iowa, USA. She is also Director of the North Central Regional Center for Rural Development and a Past President of the Rural Sociological Society. Her e-mail address is cflora@iastate.eduRosemary Elizabeth Gali is the coordinator of the Sociology Module of the Master’s Program in Development Management sponsored by the International Labour Organization (ILO) and the University of Torino, Italy. She has worked as a consultant for most of the major development agencies and was an adviser to the government of Mozambique during the 1990s. Her e-mail address is gallirose@hotmail.comFred T. Hendricks is Professor and Head of Department at the Department of Sociology, Rhodes University, Grahamstown, South Africa. He is also Managing Editor of the African Sociological Review. His e-mail address is f.hendricks@ru.ac.zaSusie Jacobs is Senior Lecturer at the Department of Sociology of Manchester Metropolitan University, Manchester, United Kingdom. She is co-director of the Institute of Global Studies there. Her e-mail address is s.jacobs@mmu.ac.ukThomas A. Lyson is Professor in the Department of Rural Sociology, Cornell University, Ithaca, New York, USA. He is also Director of Cornell’s Community, Food, and Agriculture Program, and a past editor of the journal Development Sociology. His e-mail address is tal2@cornell.eduLois Wright Morton is Assistant Professor of Sociology at Iowa State University, Ames, Iowa, USA. Her e-mail address is lwmorton@iastate.eduEduardo Ramos is Associate Professor at the Department of Economics, Sociology, and Agriculture Policy, University of Cordoba, Cordoba, Spain. He is also Head of the Co-operation for Development Chair. He is a member of the Rural Development Team at the University of Cordoba. His e-mail address is eduardo.ramos@uco.es

Describes the new library building of the University of Agriculture, Abeokuta, Nigeria, completed in 1992. Gives a brief history of the existing library as background. Highlights the planning processes involved, including critical choices made, location of the building, preparation of architects′ briefs, architect‐librarian relationship, choice of building contractors and features of the building. Discusses problems of supervision, security and maintenance likely to arise from the use of the building. Concludes that the library building meets the required functional and aesthetical standards required of libraries in the tropics and should be critically studied by other Nigerian universities planning to put up their own libraries.

This research aims to explore the role of banks in supporting women agriculture entrepreneurs (WAEs) to contribute towards achieving the Sustainable Development Goals (SDGs). It focusses on the experiences of women entrepreneurs in the agriculture sector, recognising their vital role in driving economic growth and achieving the SDGs.

The study utilises the role congruity theory and the feminist agri-food systems model as its theoretical framework. Qualitative data from 35 WAEs and 7 bank managers (BMs) responsible for agricultural financial services and business development are collected and thematically analysed to achieve the research objectives.

Although BMs claim they offer specialised financial products with dedicated support teams, WAEs express scepticism due to fears of unfavourable deals and excessive requirements. WAEs need more understanding of SDGs but recognise their substantial contributions. BMs acknowledge the need to enhance efforts, improve communication of offers and integrate SDGs across all business operations beyond agriculture and women-centric initiatives.

Banks must prioritise gender sensitivity and inclusivity for WAEs, offering tailored financial products and flexible loan structures. Microfinance and strategic marketing can enhance outreach. WAEs benefit from forming associations, accessing support networks, collaborating with banks, government agencies, non-governmental organisations and agricultural associations for mentoring and networking, and achieving the SDGs and sustainable agriculture.

The study connects WAEs and banks in achieving SDGs.

This case highlights the green agriculture initiative of the Honliv High Tech Agricultural Development Co., Ltd. towards agriculture environmental protection and better life. In this process, the Honliv Company confronted many difficulties, such as addressing the green transformation concerns of the team, identifying the sustainable agriculture target, the project selection of red globe grape products, the planning of a demonstration vineyard and green marketing. Nevertheless, with the Red Globe Grape of the “Honliv brand” had won the certification of China’s “Grade A” green food mark, and its green marketing initiatives, such as the “picking and demonstration model” had won people’s identification. The company was awarded the honorary titles of “Red Globe grape planting demonstration base with the Chinese characteristics” and “pollution-free science and technology demonstration unit of Chinese fruits and vegetables.” By discussing the Honliv Company’s experience and difficulties during the sustainable agriculture transformation process, one can realize the importance of green agriculture initiatives for creating a better life for humans.

Hate speech is an expression of intense hatred. Twitter has become a popular analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection with social media data has witnessed special research attention in recent studies, hence, the need to design a generic metadata architecture and efficient feature extraction technique to enhance hate speech detection.

This study proposes a hybrid embeddings enhanced with a topic inference method and an improved cuckoo search neural network for hate speech detection in Twitter data. The proposed method uses a hybrid embeddings technique that includes Term Frequency-Inverse Document Frequency (TF-IDF) for word-level feature extraction and Long Short Term Memory (LSTM) which is a variant of recurrent neural networks architecture for sentence-level feature extraction. The extracted features from the hybrid embeddings then serve as input into the improved cuckoo search neural network for the prediction of a tweet as hate speech, offensive language or neither.

The proposed method showed better results when tested on the collected Twitter datasets compared to other related methods. In order to validate the performances of the proposed method, t-test and post hoc multiple comparisons were used to compare the significance and means of the proposed method with other related methods for hate speech detection. Furthermore, Paired Sample t-Test was also conducted to validate the performances of the proposed method with other related methods.

Finally, the evaluation results showed that the proposed method outperforms other related methods with mean F1-score of 91.3.

The main novelty of this study is the use of an automatic topic spotting measure based on naïve Bayes model to improve features representation.

The purpose of this study is to evaluate food supply chain stakeholders’ intention to use Industry 5.0 (I5.0) drones for cleaner production in food supply chains.

The authors used a quantitative research design and collected data using an online survey administered to a sample of 264 food supply chain stakeholders in Nigeria. The partial least square structural equation model was conducted to assess the research’s hypothesised relationships.

The authors provide empirical evidence to support the contributions of I5.0 drones for cleaner production. The findings showed that food supply chain stakeholders are more concerned with the use of I5.0 drones in specific operations, such as reducing plant diseases, which invariably enhances cleaner production. However, there is less inclination to drone adoption if the aim was pollution reduction, predicting seasonal output and addressing workers’ health and safety challenges. The findings outline the need for awareness to promote the use of drones for addressing workers’ hazard challenges and knowledge transfer on the potentials of I5.0 in emerging economies.

To the best of the authors’ knowledge, this study is the first to address I5.0 drones’ adoption using a sustainability model. The authors contribute to existing literature by extending the sustainability model to identify the contributions of drone use in promoting cleaner production through addressing specific system operations. This study addresses the gap by augmenting a sustainability model, suggesting that technology adoption for sustainability is motivated by curbing challenges categorised as drivers and mediators.

The purpose of this paper is to investigate the balanced role of internal and external compliance in risk evaluation process of specialized agriculture financing. The authors examine the adaptive behavior of risk managers to determine the role of proposed transformation for risk monitoring (RM) and control process in risk mitigation and avoidance of agriculture credit failure.

A self-administered survey was conducted to collect data from 353 risk-related officers and managers in Zarai Taraqiati Bank Limited (ZTBL) Pakistan. The authors used a previously tested scale for the main constructs. The descriptive analyses were used to gauge the model capacity for determining the strength of proposed risk patterns in agriculture risk management.

The results reveal that risk evaluation process in ZTBL is reasonably efficient in mitigating risks. Given the sensitive nature of farm credit, there is a need of fundamental reforms in risk policy manuals in line with central bank’s agriculture prudential regulations and Basel-III standards. The results fully support H1 and H2, while H3 is partially validated. The result patterns indicate serious issues in risk evaluation process in agriculture finance that is causing higher delinquency in farm credit.

Based on highlighted issues, the authors recommend valuable guidelines in the RM review system for agriculture financing products at ZTBL.

The authors propose remodeling of agriculture risk management and offer valuable insights to the agriculture financial regulators and government in taking policy initiatives in the pre-and-post agriculture risk evaluation process. The proposed model enables RM process to improve farm credit delinquency, particularly in ZTBL and other agriculture banking networks in commercial banks.

This is the first study to empirically investigate RM evaluation process in agriculture risk management of ZTBL in Pakistan, thus, offers new horizon of farm credit regulatory compliance in agricultural sector of Pakistan.