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Mapping crop types and land cover in smallholder farming systems in sub-Saharan Africa remains a challenge due to data costs, high cloud cover, and poor temporal resolution of satellite data. With improvement in satellite technology and image processing techniques, there is a potential for integrating data from sensors with different spectral characteristics and temporal resolutions to effectively map crop types and land cover. In our Malawi study area, it is common that there are no cloud-free images available for the entire crop growth season. The goal of this experiment is to produce detailed crop type and land cover maps in agricultural landscapes using the Sentinel-1 (S-1) radar data, Sentinel-2 (S-2) optical data, S-2 and PlanetScope data fusion, and S-1 C2 matrix and S-1 H/α polarimetric decomposition. We evaluated the ability to combine these data to map crop types and land cover in two smallholder farming locations. The random forest algorithm, trained with crop and land cover type data collected in the field, complemented with samples digitized from Google Earth Pro and DigitalGlobe, was used for the classification experiments. The results show that the S-2 and PlanetScope fused image + S-1 covariance (C2) matrix + H/α polarimetric decomposition (an entropy-based decomposition method) fusion outperformed all other image combinations, producing higher overall accuracies (OAs) (>85%) and Kappa coefficients (>0.80). These OAs represent a 13.53% and 11.7% improvement on the Sentinel-2-only (OAs < 80%) experiment for Thimalala and Edundu, respectively. The experiment also provided accurate insights into the distribution of crop and land cover types in the area. The findings suggest that in cloud-dense and resource-poor locations, fusing high temporal resolution radar data with available optical data presents an opportunity for operational mapping of crop types and land cover to support food security and environmental management decision-making.

Family and cultural contexts can constrain the effectiveness of evidence-based interventions designed to improve the health and wellbeing of women and their children. Unequal power relationships within the household may underlie the failure of many programs targeting women to achieve their intended impact. To reduce these unequal power dynamics within the households, many programs or interventions aim to both assess and improve the gender dynamics between husbands and wives within the household. Decision-making is one important facet of these dynamics and has been linked to health outcomes for women and children. However, household decision-making is rarely observed and often difficult to capture. This study aimed to use qualitative research to further understand one aspect of decision-making, namely on how to spend money. In two regions of Tanzania, we used surveys and interviews to explore different perspectives on spending and allocation of resources among 58 couples in rural farming households. While many men and women initially reported that they made decisions jointly, most women stated they would often concede if there was a disagreement or argument around spending. These results highlight the different perceptions of joint decision-making between men and women. We compared these results to survey responses on decision-making and found differences within and between couples across interview and survey responses. Based on the differences in qualitative and survey responses within couples and how they reported dealing with disagreement, our study found households were on a spectrum from no cooperation in decision-making to full cooperation. Our results highlight challenges for assessing decision-making on spending and ultimately improving these decision-making dynamics within the household. These challenges are especially important for maternal and child behavioral change and provide insights on why many interventions aimed at improving women’s decision- making power on money may not reach their full potential.

The Asian green revolution trebled grain yields through agro-chemical intensification of monocultures. Associated environmental costs have subsequently emerged. A rapidly changing world necessitates sustainability principles be developed to reinvent these technologies and test them at scale. The need is particularly urgent in Africa, where ecosystems are degrading and crop yields have stagnated. An unprecedented opportunity to reverse this trend is unfolding in Malawi, where a 90% subsidy has ensured access to fertilization and improved maize seed, with substantive gains in productivity for millions of farmers. To test if economic and ecological sustainability could be improved, we preformed manipulative experimentation with crop diversity in a countrywide trial (n = 991) and at adaptive, local scales through a decade of participatory research (n = 146). Spatial and temporal treatments compared monoculture maize with legume-diversified maize that included annual and semiperennial (SP) growth habits in temporal and spatial combinations, including rotation, SP rotation, intercrop, and SP intercrop systems. Modest fertilizer intensification doubled grain yield compared with monoculture maize. Biodiversity improved ecosystem function further: SP rotation systems at half-fertilizer rates produced equivalent quantities of grain, on a more stable basis (yield variability reduced from 22% to 13%) compared with monoculture. Across sites, profitability and farmer preference matched: SP rotations provided twofold superior returns, whereas diversification of maize with annual legumes provided more modest returns. In this study, we provide evidence that in Africa, crop diversification can be effective at a countrywide scale, and that shrubby, grain legumes can enhance environmental and food security.

Background Diet and nutrition-related behaviours are embedded in cultural and environmental contexts: adoption of new knowledge depends on how easily it can be integrated into existing knowledge systems. As dietary diversity promotion becomes an increasingly common component of nutrition education, understanding local nutrition knowledge systems and local concepts about dietary diversity is essential to formulate efficient messages. Methods This paper draws on in-depth qualitative ethnographic research conducted in small-scale agricultural communities in Tanzania. Data were collected using interviews, focus group discussions and participant observation in the East Usambara Mountains, an area that is home primarily to the Shambaa and Bondei ethnic groups, but has a long history of ethnic diversity and ethnic intermixing. Results The data showed a high degree of consensus among participants who reported that dietary diversity is important because it maintains and enhances appetite across days, months and seasons. Local people reported that sufficient cash resources, agrobiodiversity, heterogeneity within the landscape, and livelihood diversity all supported their ability to consume a varied diet and achieve good nutritional status. Other variables affecting diet and dietary diversity included seasonality, household size, and gender. Conclusions The results suggest that dietary diversity was perceived as something all people, both rich and poor, could achieve. There was significant overlap between local and scientific understandings of dietary diversity, suggesting that novel information on the importance of dietary diversity promoted through education will likely be easily integrated into the existing knowledge systems.

Despite increasing land degradation in sub-Saharan Africa, investment in sustainable land management (SLM) remains low. Empirical evidence show that smallholder farmers tend to prioritize investing in SLM practices with short-term turnover—e.g., composting and crop residue integration—in order to improve soil fertility and yields to the neglect of practices like agroforestry whose benefits tend to materialize in a relatively longer period. While it is crucial for farmers to prioritize both short-term and long-term SLM practices for the maintenance of overall ecosystem health, the factors that shape the concurrent adoption of short-term and long-term SLM practices remain underexplored. Using data from a cross-sectional survey with smallholder farming households ( n = 512) in Malawi, we employed logistic regression to examine the determinants of the concurrent adoption of short-term and long-term SLM practices. Our findings show that plot size, farmer-to-farmer knowledge sharing, presence of a chronically ill person in the household, active household labor size, wealth and women's autonomy are noteworthy determinants. A unit increase in plot size was associated with increased odds (OR = 1.41, p < 0.01) of simultaneously adopting short-term and long-term SLM practices. Similarly, a unit increase in the active labor size of the household (OR = 1.30, p < 0.001) was positively associated with the concurrent adoption of short-term and long-term SLM practices. Households with no chronically sick person were 3.2 times more likely to adopt short-term and long-term SLM practices simulataneously compared to those with chronically sick persons. Farming households that exchanged farming information (OR = 2.50, p < 0.001) with other households had significantly higher odds of adopting short-term and long-term SLM practices concurrently than those that did not share farming information. Compared to households in the poorest wealth category, those in the richer (OR = 3.14, p < 0.001) and richest (OR = 3.64, p < 0.001) wealth categories were both significantly more likely to adopt short-term and long-term SLM practices concurrently. These findings suggest that initiatives targeted at promoting the holistic adoption of SLM practices—a combination of both short-term and long-term practices—must pay attention to contextual nuances including household wealth, gender, farmer training and land access dynamics.

How to engage farmers that have limited formal education is at the foundation of environmentally-sound and equitable agricultural development. Yet there are few examples of curricula that support the co-development of knowledge with farmers. While transdisciplinary and participatory techniques are considered key components of agroecology, how to do so is rarely specified and few materials are available, especially those relevant to smallholder farmers with limited formal education in Sub-Saharan Africa. The few training materials that exist provide appropriate methods, such as compost making, but do not explain relationships and synergies between nutrition, social inequalities, climate change and agroecology. Some food sovereignty and agroecology courses aim at popular political education for those with more formal education. Here we describe the process of development of an innovative curriculum, which integrates agroecology, nutrition, climate change, gender and other dimensions of social equity across 2 weeks of training explicitly for smallholders in southern Africa with limited formal education. The curriculum is highly participatory; we use concepts in popular education, transformative and experiential-based learning, and theatre. It is also integrative; we link agroecology with climate change, human and soil nutrition, gender, and related components of social equity. Developed in partnership with Malawian farmers, community development experts and academics from five countries, the curriculum was piloted with 520 smallholder farming households in Malawi and Tanzania, and evaluated using qualitative techniques. Clashes of language, cultural norms, and terminology were as great of a challenge as agreeing on and conveying technical information, to weave into a coherent whole. However, farmers who participated in the curriculum training demonstrated high interest, comprehension of material and interest in immediate application to their lives.

Amid climate change, biodiversity loss and food insecurity, there is the growing need to draw synergies between micro-scale environmental processes and practices, and macro-level ecosystem dynamics to facilitate conservation decision-making. Adopting this synergistic approach can improve crop yields and profitability more sustainably, enhance livelihoods and mitigate climate change. Using spatially explicit data generated through a public participatory geographic information system methodology (n = 37), complemented by spatial analysis, interviews (n = 68) and focus group discussions (n = 4), we explored the synergies between participatory farmer-to-farmer agroecology knowledge sharing, farm-level decisions and their links with macro-level prioritization of conservation strategies. We mapped farm conditions and ecosystem services (ES) of two village areas with varying knowledge systems about farming. Results of the farm-level analysis revealed variations in spatial perception among farmers, differences in understanding the dynamics of crop growth and varying priorities for extension services based on agroecological knowledge. The ES use pattern analysis revealed hotspots in the mapped ES indicators with similarities in both village areas. Despite the similarities in ES use, priorities for biodiversity conservation align with farmers’ understanding of farm processes and practices. Farmers with training in agroecology prioritized strategies that are ecologically friendly while farmers with no agroecology training prioritized the use of strict regulations. Importantly, the results show that agroecology can potentially contribute to biodiversity conservation and food security, with climate change mitigation co-benefits. The findings generally contribute to debates on land sparing and land sharing conservation strategies and advance social learning theory as it pertains to acquiring agroecological knowledge for improved yield and a sustainable environment.

In Tanzania, suboptimal complementary feeding practices contribute to high stunting rates. Fathers influence complementary feeding practices, and effective strategies are needed to engage them. The objectives of this research were to examine the acceptability and feasibility of (1) tailored complementary feeding recommendations and (2) engaging fathers in complementary feeding. We conducted trials of improved practices with 50 mothers and 40 fathers with children 6–18 months. At visit 1, mothers reported current feeding practices and fathers participated in focus group discussions. At visit 2, mothers and fathers received individual, tailored counselling and chose new practices to try. After 2 weeks, at visit 3, parents were interviewed individually about their experiences. Interview transcripts were analysed thematically. The most frequent feeding issues at visit 1 were the need to thicken porridge, increase dietary diversity, replace sugary snacks and drinks and feed responsively. After counselling, most mothers agreed to try practices to improve diets and fathers agreed to provide informational and instrumental support for complementary feeding, but few agreed to try feeding the child. At follow‐up, mothers reported improved child feeding and confirmed fathers' reports of increased involvement. Most fathers purchased or provided funds for recommended foods; some helped with domestic tasks or fed children. Many participants reported improved spousal communication and cooperation. Families were able to practice recommendations to feed family foods, but high food costs and seasonal unavailability were challenges. It was feasible and acceptable to engage fathers in complementary feeding, but additional strategies are needed to address economic and environmental barriers.

Within the last decade, there has been a growing interest in merging community-based knowledge with scholarly voices to understand how food systems can be used to create or maintain sustainable, just models of social change (Alkon and Agyeman 2011; Millner 2017; Schipanski et al. 2016). As an example of such efforts, Patricia Allen’s (2008) publication in this journal, “Mining for Justice in the Food System: perceptions, practices, and possibilities,” marked an important scholarly call-to-action and mapped out ways academics could have an active role in shaping a more “diverse agrifood system that embraces the discourse of social justice” (p. 157). According to Allen, educators can help students explore, understand, and de-naturalize the root causes of persistent food inequalities related to production and consumption; researchers can craft participatory projects on food issues; and scholars can work to inspire improved policy and practice (Allen 2008, p. 160).

Crop yield is related to household food security and community resilience, especially in smallholder agricultural systems. As such, it is crucial to accurately estimate within-season yield in order to provide critical information for farm management and decision making. Therefore, the primary objective of this paper is to assess the most appropriate method, indices, and growth stage for predicting the groundnut yield in smallholder agricultural systems in northern Malawi. We have estimated the yield of groundnut in two smallholder farms using the observed yield and vegetation indices (VIs), which were derived from multitemporal PlanetScope satellite data. Simple linear, multiple linear (MLR), and random forest (RF) regressions were applied for the prediction. The leave-one-out cross-validation method was used to validate the models. The results showed that (i) of the modelling approaches, the RF model using the five most important variables (RF5) was the best approach for predicting the groundnut yield, with a coefficient of determination (R2) of 0.96 and a root mean square error (RMSE) of 0.29 kg/ha, followed by the MLR model (R2 = 0.84, RMSE = 0.84 kg/ha); in addition, (ii) the best within-season stage to accurately predict groundnut yield is during the R5/beginning seed stage. The RF5 model was used to estimate the yield for four different farms. The estimated yields were compared with the total reported yields from the farms. The results revealed that the RF5 model generally accurately estimated the groundnut yields, with the margins of error ranging between 0.85% and 11%. The errors are within the post-harvest loss margins in Malawi. The results indicate that the observed yield and VIs, which were derived from open-source remote sensing data, can be applied to estimate yield in order to facilitate farming and food security planning.