The sorghum agricultural sector in Al-Qadarif State, Sudan, plays a pivotal role in ensuring regional food security. However, its productivity is hindered by significant constraints. Substantial improvements in sorghum yield are impeded by the intricate complexities that characterize this sector's financial resources, and agricultural practices. This study in Al-Qadarif State, Sudan, explores the relationship between financial resources and sorghum agrarian productivity. Data were collected from 200 sorghum farmers using standardized questionnaires during the 2022 season, and regression analysis was employed to investigate the association between financial factors and sorghum productivity. The findings indicate that financial accessibility considerations significantly influence sorghum productivity. This emphasizes the importance of improved financial resources for farmers to adopt innovative farming technologies and practices, leading to higher sorghum productivity levels. The study recommends the integration of digital financial services and precision agriculture technologies as a creative solution to enhance financial accessibility and sorghum productivity. By leveraging mobile money platforms and digital credit services, farmers can conveniently access financial resources, enabling them to invest in modern agricultural inputs and technologies. Additionally, the adoption of precision agriculture techniques, such as soil moisture sensors, drone-based crop monitoring, and variable rate application of inputs, can optimize resource utilization, increase yield, and reduce production costs. The combination of these innovative approaches has the potential to bridge the financial and knowledge gaps, promoting the widespread adoption of sustainable agricultural practices. This synergistic approach could significantly improve sorghum productivity, enhance farmer livelihoods, and contribute to regional food security.

The present study aimed to understand visitors’ perceptions of the ecosystem service functions of the AL-Sunut Forest Reserve, as well as their recreational activities. Here, the impact of respondents’ socioeconomic status on visitors’ perceptions was statistically analyzed by t-tests and ANOVA (SPSS software v26). Meanwhile, multiple regression analysis was conducted to identify the relationships between factors shaping respondents’ perceptions of the AL-Sunut Forest during recreational activities. A total of 441 visitors were randomly selected and questioned through a questionnaire survey during February and March 2020. The results showed that visitors believed the recreational forest site was important and valuable and were willing to revisit it. Visitors also demonstrated a particular understanding of the ecosystem services provided by the forest ecosystem. There were significant differences in perceptions of ecosystem services among visitors of different backgrounds. The findings indicated that 79% of participants responded positively towards the importance of environmental education compared with any other education. In addition, 90% of respondents believed that habitats and natural resources such as forests must be protected. The results of the recreational activities of visitors showed that they acquired the most benefits when experiencing picturesque scenery and walking. Overall, the present findings can pave the way for decision-makers to develop a unique plan focusing on forests to implement an exhaustive approach to assessing the value of ecosystem services while emphasizing the general public’s welfare. The study’s results can also contribute to the future management of the AL-Sunut Forest.

This study aims to present a methodological framework for estimating the recreational value as part of the ecosystem’s services provided by the Sudanese forests. The number of visitors ready to pay for the forest’s services has been analyzed using the individual travel cost method (ITCM). The data were collected using questionnaires with 640 visitors randomly participating at the forest site, and respondents’ results were analyzed using SPSS software v21. Further analysis of ITCM was performed using analysis of moment structure. The linear regression model is used to estimate the effects of variables, like socioeconomic variables, on the frequency of the visits to assess the recreational value of the forest site. The results showed that the consumer’s excess for each visitor was 21,500 Sudanese pounds (SDG), and travel costs, age, income, distance, and family size of visitors affect the recreational use of the site. Most of the visitors were students, with the majority of their ages ranging between 21 and 30. An additional discovery indicated that higher-income visitors were more willing to travel. These encouraging findings are a helpful guide for planning the future management of forests for recreational uses. This meant that forests offer great recreational value, which might help the Forestry Office ensure that natural forests are planned for and used sustainably.

This paper provides a comprehensive analysis of food security in Sudan by adopting a unique approach of Hesitant Fuzzy Entropy (HFE) analysis to discern the key determinants influencing food security levels and aligning the findings with the Integrated Food Security Phase Classification (IPC) framework. The research utilized a dataset comprising 32 crucial variables related to food security assessment. Employing entropy values, weight coefficients, heatmaps, and scatterplots, the analysis aimed to unravel the intricate distribution of food security levels among Sudanese individuals in our study area. The study reveals that approximately 26% of the Sudanese population in our study region is poised to experience food security, with an additional 24% categorized as marginally food secure. Moreover, an estimated 35% are expected to confront moderate food insecurity, while 15% are projected to face severe food insecurity between January and June 2024. Anticipations for the period from January 2024 to June 2024 project more than 15 million individuals to encounter IPC Phase 3 and fall under moderately or severely food insecure levels. These findings emphasize the urgent need for both short-term humanitarian aid and long-term strategies to address Sudan's deepening food insecurity crisis.