While Moringa oleifera Lam. is gaining importance in Africa, especially sub-Saharan Africa, it is unclear whether research is following the quick pace of its development on the continent. Therefore, this article analyzes the landscape of research dealing with moringa in Africa. This systematic review draws upon 299 eligible articles identified through a search carried out on the Web of Science in April 2023. Research on M. oleifera is rather recent in Africa but interest is increasing among scholars. While the research field is multidisciplinary and cross-sectoral, the literature seems to focus on biological and environmental sciences. Moreover, research is performed mainly in South Africa, Nigeria, Egypt, and Ghana. The analysis suggests a significant potential contribution of moringa to food security and nutrition, climate change mitigation/adaptation, farming systems resilience, and livelihoods. Its versatility and diverse applications and uses make moringa particularly interesting for developing countries, such as African ones. However, this review also underscores some factors hindering its development. Therefore, there is a need to strengthen research on moringa to unlock its potential in Africa. Investments in research, innovation, and development can help address the many challenges that Africa faces and contribute to the transition towards sustainable and resilient food systems.

Neglected and underutilized crop species (NUCS/NUS) are claimed to contribute to sustainable development. However, many scholars argue that enabling policies and appropriate governance are needed to operationalize such a potential contribution. Therefore, this systematic review analyzes the literature dealing with the relationships between policy and governance aspects and the promotion of NUS in West Africa. It draws upon 45 eligible articles identified through a search conducted on the Web of Science in December 2023. The existing literature focuses on Nigeria and a few NUS, especially cassava. The addressed policy domains include biodiversity conservation; subsidies; seed systems; food security, self-sufficiency and sovereignty; trade and import substitution; food safety and health; climate change and energy; land use; research, innovation and development; and support and assistance systems. Meanwhile, the main governance domains are (1) inclusiveness and participation and (2) institutional capacity. The analysis suggests that NUS development is also affected by sectoral policy coherence and consistency as well as the policy–governance interplay. Future studies should widen the scope in terms of geographical coverage in West Africa and NUS addressed to allow for more comparisons. Furthermore, there is a need for further research to understand the synergies and trade-offs between sectoral policies affecting NUS promotion and development.

While Bambara groundnut (Vigna subterranea (L.) Verdc.) originates from Africa and the list of producers is topped by African countries, it is not clear whether research is developed enough to support crop promotion in the continent. Thus, this systematic review of 180 articles presents a comprehensive summary of research on Bambara groundnut (BGN) in Africa. The paper addresses bibliographical metrics, the geographic distribution of the research and themes covered (viz., food and nutrition security, climate resilience, and livelihoods). The analysis shows that BGN can help address different challenges in Africa, such as food and nutrition insecurity and poverty. However, it also highlights gaps in the research from geographical and thematic standpoints. Geographically speaking, the most important producers of BGN in Africa are not sufficiently covered in the research; instead, it is mainly carried out in Nigeria and South Africa. Thematically speaking, the gaps are related to economics and social sciences, the use of BGN in animal production, processing and marketing, irrigation, contribution to climate resilience and livelihoods, and health benefits. Collaborative research and knowledge sharing, including among producing countries and those leading the research field, are highly needed to unlock the potential of BGN and boost its contribution to sustainable development in Africa.

A growing body of evidence suggests that the COVID-19 pandemic affected not only the functioning of food supply chains but also the performance and outcomes of agri-food systems. In this context, this paper analyses the scholarly literature dealing with the impacts of the pandemic on West African agriculture and food systems. A search carried out on the Web of Science in March 2023 returned 176 records and 87 eligible documents were included in the systematic review. The bibliometric analysis suggests a decreasing interest in the research field. Moreover, a large share of the eligible articles are authored by researchers based outside West Africa. There is a research gap, especially in Cabo Verde, Ivory Coast, Gambia, Guinea, Guinea-Bissau, Mauritania, Niger and Togo. Studies focus on the crop production subsector and consumption stage. The pandemic affected all four dimensions/pillars of food security (viz. availability, access, utilisation/use, and stability). However, most of the analysed documents focus on food access (economic accessibility and physical accessibility). Moreover, COVID-19 affected all the dimensions of agri-food systems (viz. environmental, economic, social, and political) but the analysed articles focus on the pandemic’s socio-economic impacts, especially those relating to food security and health. The promotion of research on the impacts of the pandemic on agri-food systems in West Africa is paramount to designing the evidence-based policies needed to improve the preparedness of the region for current and future crises and shocks.

Although sweet potato (Ipomoea batatas) is gaining importance in West Africa, it remains uncertain whether the research is adequately advanced to support the promotion of this crop in the region. Consequently, this systematic review of 125 articles provides a detailed overview of studies focused on sweet potatoes in West Africa. The paper explores various bibliometrics, the research geographic spread, and the topics discussed (e.g., food security and nutrition, climate resilience, livelihoods). The study indicates that sweet potato has the potential to address multiple issues in West Africa, including food and nutrition insecurity (especially micronutrient deficiencies, e.g., vitamin A) as well as poverty. However, it also reveals significant research gaps in terms of geographical and thematic areas. From a geographical perspective, research is primarily conducted in Nigeria and Ghana. From a thematic perspective, there are deficiencies in areas like economics and social sciences, applications in animal husbandry, marketing, use of leaves, irrigation methods, and impacts on climate resilience and livelihoods. There is a pressing need for collaborative research and knowledge exchange among nations to fully realize the potential of sweet potato and develop its value chains to contribute to sustainable socio-economic development across West Africa.

Monitoring environmental changes over time requires image time series with extensive historical depth. However, high spatial resolution images often lack such depth. Additionally, some remote areas may suffer from either insufficient satellite coverage or a lack of high-resolution or high-quality imagery. This study aims to investigate the impact of spatial resolution on image classification. Therefore, Landsat 8 and Sentinel-2 images from October to December 2020 were processed and classified using Random Forest regression in Google Earth Engine (GEE). Training samples were collected from Collect Earth Online (CEO) to train the model. In addition to the spectral bands available, vegetation indices were considered to optimize classification results. The study revealed differences in land cover areas estimated by the two sensors. These differences are statistically significant at p < 0.001, although they are small. The validation results showed that the RMSE from Sentinel-2 is slightly lower than that from Landsat 8. Although small, this difference is significant at p < 0.05. This highlights two key points: (i) that spatial resolution positively influences the accuracy of image classification, especially when dealing with Landsat 8 and Sentinel-2 imagery; and (ii) that the difference between Landsat 8 and Sentinel-2 sensors is not too substantial in the context of a fragmented landscape, since it ranged from 0.03% to 3.94% across land covers. Therefore, Landsat imagery and, by extension, medium-resolution satellite imagery can still yield satisfactory land cover maps, especially in a patchy landscape such as the southeastern part of Niger.Keywords: Stratified random sampling; Google Earth Engine (GEE); Random Forest; Collect Earth Online (CEO); Niger