Food Production Systems Research Articles

The Role of Fermented Vegetables as a Sustainable and Health-Promoting Nutritional Resource

The increasing global burden of morbidity and mortality from chronic diseases related to poor diet quality, coupled with the unsustainable depletion of vital planetary resources by current food production systems, threatens future food security and highlights the urgent need to transition to high-quality plant-based diets as a viable solution to mitigate economic, health, and environmental challenges. Taking into consideration the significant role that fermented vegetables may play as a sustainable, healthy, long-lasting, and plant-based nutritional resource, this narrative review analyzes their production and benefits. For this purpose, the mechanisms of the fermentation process are explored, along with the importance of probiotic cultures in plant-based fermented foods, and with the implications of fermentation on food safety within the broader framework of low-impact, organic, plant-derived nutrition. Additionally, the health benefits of fermented vegetables and probiotics are examined, including their effects on mental health. Vegetable fermentation is a versatile method for enhancing food preservation, nutritional quality, and safety. This ancient practice prolongs the shelf life of perishable items, reduces the toxicity of raw ingredients, and improves digestibility. Specific starter cultures, particularly lactic acid bacteria, are essential for controlling fermentation, ensuring safety, and maximizing health benefits. Fermented vegetables, rich in probiotics, support gut health and immune function. Emerging research indicates their potential to alleviate adverse mental health symptoms such as stress and anxiety, highlighting their significance in modern dietary guidelines and chronic health management.

Environmental Impact of Meat Protein Substitutes: A Mini-Review.

The expansion of alternative food industries, including cultured meat, is often promoted as a strategy to reduce environmental pollution, particularly greenhouse gas emissions. However, comprehensive data on the environmental impacts of these industries remains limited. This study examines the environmental impacts of traditional meat and meat substitute production, highlighting their respective advantages and disadvantages. Our findings indicate that meat substitute production generally has a lower environmental impact compared to traditional livestock farming. However, it is challenging to quantify the extent to which meat substitutes can reduce the environmental impacts of traditional livestock products, as both sectors produce different pollution measurements depending on the criteria used. Moreover, the growth of the meat substitute market has been significantly smaller compared to that of the traditional livestock products market, limiting the availability of accurate data on the environmental impacts of meat substitute production. Therefore, assumptions that the meat substitute market will eventually surpass the traditional livestock market and reduce environmental pollution require caution. Continuous and in-depth research is crucial to fully understand the long-term environmental impacts of meat substitutes. Furthermore, enhancing the quality of alternative meat substitutes should be prioritized to increase their overall acceptability and facilitate technological advancements in alternative protein production before it becomes a sustainable food production system.

The Development of Bioindustry Technology in Realizing IoT-Based Sustainable Agricultural Industry Waste Management in West Java

The threat of climate change is increasing, especially the damage to nature caused by pollution in the agricultural sector. The impact of agricultural waste that is not managed optimally can reduce ecosystem function and disrupt food security stability. This research/research aims to mapping, analyzing, and developing Internet of Things (IoT)-based bioindustry technology in order to create an efficient, green and sustainable agricultural industry. This research uses quantitative methods with agroecology theory related to the development of agricultural waste management systems. The benefits of anaerobically processing agricultural waste such as in the West Java region is to create an optimal, efficient and land-saving food production system. Biotechnology based on the IoT automation system is a technology that can control agricultural food production waste by composting waste into new product that can be used. Therefore, we conducted research on agricultural waste, namely husk waste and cow blood water from slaughterhouses. The end result of the waste treatment is Bokashi Fertilizer and Liquid Organic Fertilizer by using biotechnology technology.

Sustainable inventory models for a three-echelon food supply chain with growing items and price- and carbon emissions-dependent demand under different emissions regulations

Sustainable inventory models for a three-echelon food supply chain with growing items and price- and carbon emissions-dependent demand under different emissions regulations

Regenerative agriculture: A paradigm shift for food production in South Africa

Agriculture and other land use practices have severely affected the quality of soils and food production systems in South Africa. In addition, these practices significantly contribute to greenhouse gas (GHG) emissions. Soil quality is generally associated with soil organic matter (SOM) along with elemental Carbon (C) and Nitrogen (N). Approximately 58% of South African soils contain <0.5% organic C, 38% contain 0.5–2% organic C, and 4% contain >2% organic C. The extensive aridity and lack of SOM content in South African soils cause them to lack resilience and have a delicate nature compared to soils in temperate regions. In a country where almost 60% of the land is degraded, and 91% is prone to desertification, farming practices require a revised framework for land management. The challenge of producing food on degraded land that is often water-scarce and particularly vulnerable to the effects of climate change is a threat to South Africa's food and nutritional security. Therefore, this review aims to equip farmers with knowledge and principles of innovative and sustainable alternatives such as regenerative agriculture that naturally and progressively improves soil quality/fertility and ecosystem health; and reduces GHG emissions through carbon sequestration. Quantitative studies in South Africa show that during 5–90 years of crop cultivation in the Free State province resulted in a 10–73% reduction in C and N relative to natural grasslands. Similar studies reported a 50% reduction in C after 50 years of cultivation on Hutton soil in Pretoria; and a 50% reduction in C after only 3.5 years of cultivation in the Free State. Considering that the world's food systems are responsible for more than a third of anthropogenic GHG emissions, we are convinced that the shifting trend toward regenerative agriculture is a sustainable climate-smart solution for global food production systems.

Microbiological contamination of lettuce (Lactuca sativa) reared with tilapia in aquaponic systems and use of bacillus strains as probiotics to prevent diseases: A systematic review.

Aquaponic systems are food production systems that combine aquaculture and hydroponic in a closed recirculation system where water provides nutrients to plants while plants purify water for fish. In this system, tilapia is the most commonly cultured fish and can be easily integrated with vegetable cultivation. However, tilapia host a diverse microbiota some of which are pathogenic and can infect humans. Previous studies have reported contamination of lettuce by pathogenic bacteria which can cause human diseases. Thus, there is an urgent need to employ effective methods to control those bacteria, and Bacillus strains have been successfully used in this context. This systematic review aimed to provide a comprehensive overview of lettuce contamination by pathogenic bacteria and the use of Bacillus as probiotics to prevent diseases in aquaponics systems. This systematic review was performed using Preferred Reporting Items for Systematic Review and Meta-Analysis Statement (PRISMA) Guidelines. A total of 1,239 articles were retrieved and based on eligibility criteria, six articles were included after screening. The review revealed that Enterobacteriaceae, Coliforms, and Shiga Toxin-producing E. coli are the predominant bacteria contaminating lettuce leaves in Aquaponic systems, and Shiga Toxin-Producing E. coli can internalize in the lettuce leaves, putting public health at risk. The included studies did not report the presence of V. cholerae in lettuce grown in aquaponic systems, and the use of Bacillus as probiotics to control Escherichia coli and Vibrio Cholerae. Further research is needed to explore the potential of tilapia to act as a source of pathogenic bacteria that can contaminate lettuce, as well as to investigate the effectiveness of Bacillus strains as probiotics to control these bacteria and ensure food safety.

Bridging the gap: exploring consumer knowledge, perceptions, and willingness to pay for aquaponics products across the UK

Aquaponics (a sub-field of integrated agri-aquacultural practices (IAAS)) has emerged as a novel approach to combat global food security, reduce soil erosion and nutrient loss, and mitigate agronomic greenhouse gas (GHG) emissions. However, little remains known of potential consumer markets. Despite recent research throughout Europe, Central America, Australia, and the Middle East, this work represents the first large-scale evaluation of UK consumer understanding, assessment, and willingness to pay (WTP) for aquaponic products. Following analysis of 588 survey responses, we identify environmental awareness and green consumption, recognition of common UK eco-labels and sector-specific certification schemes, and consumer perceptions of aquaponics compared to conventional, locally sourced, and organic food production. Initially, 44% of survey respondents were familiar with aquaponics, with familiarity positively influenced by age and level of education. After presenting a definition of aquaponics (detailing its use and commonly cited socio-environmental benefits), consumer perceptions were mixed, with respondents broadly favourable to the practice despite uncertainty. Over 43% of consumers were willing to pay an associated price premium for aquaponic produce (valued, on average, as a 23% price increase over conventional alternatives). This willingness to pay was statistically in line with the organic market premiums and independent of prior familiarity with aquaponics as a food production system. These findings suggest a sizable consumer market for aquaponic produce and public interest in its sustainability benefits. Tailored marketing strategies could position aquaponic produce competitively alongside organic and environmentally friendly alternatives (irrespective of certification/eco-labelling), ensuring the long-term economic viability of the emerging aquaponics industry.

Improved manure management moves trade-off and synergy relationships among environmental indicators in desirable directions

Improved manure management moves trade-off and synergy relationships among environmental indicators in desirable directions

Operationalising dietary acceptability: A systematic review on how acceptability is applied in dietary optimisation models

The current environmental, climate and health challenges require critical transitions to diets and food production systems that are more sustainable, in turn providing diets that are adequate nutrition, affordable and environmentally friendly. Recent studies have identified cultural acceptability as an important dimension in sustainable diets(1). Mathematical optimization models have been developed to deal with the complexities of all the dimensions, yet diet acceptability has had limited successful integration into these models(2). This systematic review explored two research questions in the context of dietary optimisation studies; how is acceptability defined and operationalised?; how does including acceptability impact dietary optimisation solutions?A hybrid search strategy was implemented. The first used the PRISMA guidelines to conduct a systematic search on two electronic databases (PubMed, Embase) for articles published between January 2013 and April 2024. Search terms were developed through preliminary readings and included: diet OR diets OR dietary AND modelling OR modeling OR optimisation OR optimization OR optimize OR optimize OR linear programming AND acceptabl*. Articles in English optimising acceptable diets for adults (18+) were included. The second used the snowball method for identifying relevant articles from previous searches(3). Backward snowballing was conducted by identifying references from the initial set and forward snowballing was conducted through Web of Science in June 2023.Fifty-one studies fulfilled the inclusion criteria. European countries had the largest representation (n = 41; 20 from France, 7 from The Netherlands); 43 studies took a population-based modelling approach, 7 on individual-based modelling and 1 study used both approaches. The review identified 12 modelling approaches, where linear programming was most frequently used (n = 26), followed by non-linear programming (n = 7) and quadratic (n = 6). The majority of studies that optimised for acceptability used the minimal deviation from observed diet as the objective function (n = 32). Baseline dietary data for observed diets were primarily from National surveys (n = 36), followed by local surveys (n = 5), however, 25 studies used data that was 8 – 16 years older than the publication date. Majority of studies included at least one acceptability constraint (n = 45), ranging from setting boundaries on certain foods (n = 34), removal of certain foods/food groups (n = 12), limiting deviation (n = 15).The full analysis of the studies is ongoing; however the current results highlight the varying methods used to operationalising ‘acceptable’ diets in diet optimisation literature. A conceptual framework for integrating acceptability into diet optimisation studies is currently under development, aiming to highlight the various ways in which ‘acceptability’ is operationalised through the modelling process from data inputs, models chosen to validation of the solutions. It is anticipated that this work will highlight new opportunities for further modelling for acceptable diets.

Modern Plant Breeding for Achieving Global Food Security.

Modern plant breeding technologies have played a central role in addressing global food security challenges. These technologies, including next-generation sequencing (NGS) and multi-omics analysis, genome-wide association analysis (GWAS), genome editing and transgenics, machine learning, and speed breeding, have been improving crop yield and quality as well as crop adaptability under climate change conditions, such as tolerance to both biotic and abiotic stresses. Furthermore, identification, searching, assessment, and combining desirable integrated (morphological, physiological, and biochemical) attributes have been achieved with greater accuracy, efficiency, time, and cost-effectiveness, all of which are essential to meeting global food demands. These advancements hold promises for increasing food security in the face of population growth and climate change, ensuring a more resilient and sustainable food production system. Therefore, this topical collection was developed to feature the latest developments in modern plant breeding approaches to understand and improve plant attributes essential for ensuring sustainable crop production.

Physiological and enzyme dynamics of tomato under drought stress

Climate change leads to an increase in the frequency and severity of droughts, which have a negative impact on agriculture by altering plant growth and lowering water availability, placing food production systems at risk of sustainability. In order to improve drought resistance and ensure food security in the face of growing water shortages, this research was conducted to determine the physiological and enzymatic responses of tomato plants to drought stress. This study was conducted at Tamil Nadu Agricultural University, Coimbatore, involving 3 hybrids, viz., H1: EC169966 × LE118, H2: EC177824 × LE118 and H3: Arka Ashish × LE 27, along with their parents, P1: EC177824, P2: LE27, P3: EC169966, P4: LE118 and P5: Arka Ashish, under 50 % and 100 % field capacity conditions in factorial completely randomized design (FCRD) with 3 replications. Results indicated a significant change in physiological and enzymactic activities. Here, the parent P2 and hybrid H2 showed superior tolerance, with higher relative water content, proline, leaf water potential, membrane and chlorophyll stability index. Added to that, the response of enzyme activities including peroxidase, nitrate reductase, catalase, polyphenol oxidase and superoxide dismutase was found to be increase notably in drought-tolerant hybrids and parents, which correlated strongly with physiological markers of drought resistance. These modifications highlight the capacity of some genotypes to preserve photosynthetic efficiency and cellular integrity in water-limited environments. The results highlight the significance of choosing and developing drought-tolerant cultivars in order to maintain agricultural production in areas vulnerable to drought and address issues related to global food security.

Transforming the food system: Are farmers ready to take phosphorus stewardship action?

Ensuring global food security while halting ecosystem degradation is arguably one of the most fundamental current challenges. As a key component of fertilisers for which there is no substitute, phosphorus plays a central role in this challenge. Food production systems are critically vulnerable to phosphorus supply disruptions and price spikes, while high phosphorus-inefficiencies drive the greatest global threat to waters through diffuse pollution. Transformation to a more phosphorus sustainable and efficient system inevitably necessitates transition at the farm level, leading to the critical question of whether farmers are ready for such transition. This paper examines the relationship between the farmers’ perceived adaptive capacity and farm-level actions that can enable a positive phosphorus transition. We innovatively apply a second-generation psycho-social mobilisation approach to adaptive capacity (based on personal experience, place attachment, competing concerns, household dynamics, and risk attitudes) and establish its relation to an extended framework of phosphorus stewardship action, using Structural Equation Modelling in a UK-wide survey. Our results confirm that the second-generation approach provides a more nuanced approximation to the understanding of farmers’ adaptive capacity than traditional (first-generation) approaches (five capitals: human, natural, physical, financial, and social), allowing a more dynamic understanding and a more robust assessment of adaptive capacity. Beyond our specific results for the UK (which demonstrate relatively high levels of farmers’ readiness to adapt and promising predisposition to do so, if supported), our research illustrates how this framework can be used to identify priority actions to enhance farmers’ uptake of phosphorus stewardship actions more generally.

AI-driven optimization of agricultural water management for enhanced sustainability

Optimizing agricultural water resource management is crucial for food production, as effective water management can significantly improve irrigation efficiency and crop yields. Currently, precise agricultural water demand forecasting and management have become key research focuses; however, existing methods often fail to capture complex spatial and temporal dependencies. To address this, we propose a novel deep learning framework that combines remote sensing technology with the UNet-ConvLSTM (UCL) model to effectively integrate spatial and temporal features from MODIS and GLDAS datasets. Our model leverages the high-resolution spatial data from UNet and the temporal dependencies captured by ConvLSTM to significantly improve prediction accuracy. Experimental results demonstrate that our UCL model achieves the best R2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$R^2$$\\end{document} compared to existing methods, reaching 0.927 on the MODIS dataset and 0.935 on the GLDAS dataset. This approach highlights the potential of AI and remote sensing technologies in addressing critical challenges in agricultural water management, contributing to more sustainable and efficient food production systems.

Does an agroecological approach impact the nematode biological and functional diversity in intensive protected production systems?

ABSTRACT Food production systems in protected conditions are probably the most intensive agricultural systems causing biodiversity loss. Experimental sites in different European areas were established to investigate whether an agroecological approach to organic greenhouse production allows preserving or increasing biodiversity. Soil nematode communities were characterized by DNA-metabarcoding, and some biodiversity indices were calculated. A general increase in absolute number of genera indicates that the innovative treatments potentially positively influence biodiversity. A multidimensional analysis revealed that the change in nematode community compositions is caused more by country and sampling year than by the farming system. However, regionally, some shifts in biodiversity are obvious and the impact by a farming practice likely. This study is the first indication that the implementation of some agroecological measures in European protected cropping systems is feasible as at least they did not worsen (nor improve) soil biodiversity.

Large language models can help boost food production, but be mindful of their risks.

Coverage of ChatGPT-style large language models (LLMs) in the media has focused on their eye-catching achievements, including solving advanced mathematical problems and reaching expert proficiency in medical examinations. But the gradual adoption of LLMs in agriculture, an industry which touches every human life, has received much less public scrutiny. In this short perspective, we examine risks and opportunities related to more widespread adoption of language models in food production systems. While LLMs can potentially enhance agricultural efficiency, drive innovation, and inform better policies, challenges like agricultural misinformation, collection of vast amounts of farmer data, and threats to agricultural jobs are important concerns. The rapid evolution of the LLM landscape underscores the need for agricultural policymakers to think carefully about frameworks and guidelines that ensure the responsible use of LLMs in food production before these technologies become so ingrained that policy intervention becomes challenging.

Popularity and parity assessment for more inclusive and balanced aquaculture development

Aquaculture, a rapidly expanding food production system, holds promise for improving global food security and resilience. However, imbalanced growth has led to a highly uneven distribution of aquaculture production among countries, a concern that has not been comprehensively examined. This paper fills this knowledge gap by developing an innovative indicator system to assess this issue based on aquaculture development in ~ 200 countries over five decades. The system utilizes the “effective number of countries” (ENC) as a basic measure of production distribution and extends it into two novel indicators, popularity and parity, to gauge inclusiveness and balance. The assessment from 1970 to 2020 reveals that aquaculture has become a global enterprise, operating in nearly 90% of countries. Nevertheless, there is still substantial potential for growth in aquaculture popularity across most of 43 species groups examined here. Regarding concerns over persistently imbalanced aquaculture growth, our assessment reveals that aquaculture parity increased during 1970–2020 in the majority of 85 country groups examined here, including 18 of 27 regions and subregions. Global parity is also on the rise in the new millennium (2000–2020). However, the global aquaculture parity remains considerably lower than those of capture fisheries and terrestrial meat production. This suggests that imbalanced global aquaculture development cannot be solely attributed to countries’ comparative advantages. This extraordinary imbalance could compromise global food security and food system resilience, but it also signifies untapped growth potential. Mainstreaming aquaculture popularity and parity as policy indicators can foster more inclusive and balanced development and unlock this potential. The proposed indicator system can be applied across diverse sectors and scales, contributing to a broader and refined understanding of the dynamics within the global food system.

A Fuzzy Logic Approach to Performance Evaluation of Genomics-Driven Crop Improvement

Genomics-driven crop improvement has emerged as a revolutionary approach to enhance yield, resilience, and nutritional value in agriculture. However, traditional performance evaluation methods often must catch up with agricultural systems' complex, multifaceted nature. This study proposes a fuzzy logic-based framework to assess the performance of genomics-driven crop improvement initiatives. By integrating fuzzy logic, we can effectively manage uncertainty and ambiguity inherent in agricultural data, allowing for a more nuanced evaluation of crop traits, environmental factors, and management practices. The paper begins by elucidating the fundamental principles of genomics-based agriculture and its impact on crop development. It then delves into the theoretical underpinnings of fuzzy logic and its applicability in modeling the multifaceted aspects of crop growth, encompassing genetic, environmental, and physiological factors. Through a synthesis of existing research and empirical data, the paper illustrates the effectiveness of fuzzy logic in capturing the nuances of crop development processes, including germination, flowering, and yield formation. This paper underscores the pivotal role of fuzzy logic analysis in advancing genomics-based agriculture, offering insights into the dynamic interactions shaping crop development and facilitating informed decision-making for sustainable and resilient food production systems in the face of evolving environmental challenges. Results indicate that the fuzzy logic approach enhances the accuracy of performance assessments and facilitates better decision-making in crop management.

Intraspecific variability in plant and soil chemical properties in a common garden plantation of the energy crop Populus.

Optimizing crops for synergistic soil carbon (C) sequestration can enhance CO2 removal in food and bioenergy production systems. Yet, in bioenergy systems, we lack an understanding of how intraspecies variation in plant traits correlates with variation in soil biogeochemistry. This knowledge gap is exacerbated by both the heterogeneity and difficulty of measuring belowground traits. Here, we provide initial observations of C and nutrients in soil and root and stem tissues from a common garden field site of diverse, natural variant, Populus trichocarpa genotypes-established for aboveground biomass-to-biofuels research. Our goal was to explore the value of such field sites for evaluating genotype-specific effects on soil C, which ultimately informs the potential for optimizing bioenergy systems for both aboveground productivity and belowground C storage. To do this, we investigated variation in chemical traits at the scale of individual trees and genotypes and we explored correlations among stem, root, and soil samples. We observed substantial variation in soil chemical properties at the scale of individual trees and specific genotypes. While correlations among elements were observed both within and among sample types (soil, stem, root), above-belowground correlations were generally poor. We did not observe genotype-specific patterns in soil C in the top 10 cm, but we did observe genotype associations with soil acid-base chemistry (soil pH and base cations) and bulk density. Finally, a specific phenotype of interest (high vs low lignin) was unrelated to soil biogeochemistry. Our pilot study supports the usefulness of decade-old, genetically-variable, Populus bioenergy field test plots for understanding plant genotype effects on soil properties. Finally, this study contributes to the advancement of sampling methods and baseline data for Populus systems in the Pacific Northwest, USA. Further species- and region-specific efforts will enhance C predictability across scales in bioenergy systems and, ultimately, accelerate the identification of genotypes that optimize yield and carbon storage.

Combining the uncombinable: corporate memories, ethnobiological observations, oceanographic and ecological data to enhance climatic resilience in small-scale fisheries

The global food production system is increasingly strained by abrupt and unpredictable weather events, which hinder communities' ability to adapt to climate variations. Despite advances in meteorological predictions, many communities lack the academic knowledge or infrastructure to interpret these complex models. This gap highlights the need for solutions that make climate forecasts more accessible and actionable, especially for communities reliant on natural resources. This study explores the potential of enhancing seasonal climate forecasts by integrating local ecological knowledge (LEK) with scientific data. Specifically, we combined ethnobiological information gathered between 2022 and 2024 with existing oceanographic and ecological data to create an ethnobiological calendar for four fishing cooperatives. An ethnographic approach was used to understand the population's ethnobiological knowledge and their perceptions of marine heatwaves and climate change impacts. Coastal monitoring data was collected using moorings that recorded temperature over a 14-year period (2010–2024). To characterize giant kelp dynamics, we used an existing dataset of multispectral Landsat images, which estimates the surface canopy biomass of giant kelp forests. Ecological monitoring was conducted annually every summer from 2006 to 2023 to record the in situ abundance of ecologically and economically important invertebrate and fish species. Combining oceanographic, ecological, and ethnographic data, allowed for alligning fishers' observations with recorded marine heatwave events and ecological shifts. Our findings revealed that these observations closely matched documented marine heatwave data and corresponding ecological changes. The integration of LEK with scientific oceanographic data can significantly improved our understanding of dynamic climate regimes, offering contextually relevant information that enhances the reliability and utility of seasonal climate forecasts. By incorporating yearly data into an ethnobiological calendar, we promote more inclusive, community-based approaches to environmental management, advocating for the integration of LEK in climate adaptation efforts, emphasizing its crucial role in strengthening resilience strategies against climatic shocks.

Circular Regenerative Agricultural Practices in Africa: Techniques and Their Potential for Soil Restoration and Sustainable Food Production

The conventional linear system of global food production and consumption is unsustainable as it is responsible for a substantial share of greenhouse gas emissions, biodiversity declines due land use change, agricultural water stress due resource-intensive water consumption patterns and land degradation. During the last decade (1994–2014), for example, the greenhouse emissions from agriculture in Africa were reported to increase at an average annual rate of between 2.9% and 3.1%, equivalent to 0.44 Gt and 0.54 Gt CO2 per annum, respectively. Between 2000 and 2020, the greenhouse gas emissions from agrifood systems were shown to decrease in all major regions of the world, except in Africa and Asia, where they grew by 35 and 20 percent, respectively. With most of the circular agricultural practices still central to food production in the developing African countries, the continent can spearhead a global return to circular agriculture. Using a descriptive review approach, we explore the literature to examine the extent to which African agriculture is deploying these practices, the potential areas for improvement and lessons for the world in embracing sustainable food production. We underscore that the farming communities in sub-Saharan Africa have, for decades, been using some of the most effective circular agricultural principles and practices in agricultural production. We further show that practices and strategies akin to sustainable agricultural production include agronomic practices, smart irrigation options, renewable energy harvesting and waste-to-fertilizer technologies. All of these technologies, which are central to sustainable agricultural production, are not new to Africa, although they may require packaging and advocacy to reach a wider community in sub-Saharan Africa.