Food Security Challenges Research Articles

Pragmatic investigation of the effect of green and low-carbon economies on food safety in Africa

This research examines the relationship between a green economy—defined as an economy that promotes sustainable development through low-carbon, resource-efficient, and socially inclusive practices—and food safety across 37 African countries from 2005 to 2020. Drawing on data from the Food and Agricultural Organization (FAO), the Country Policy and Institutional Assessment (CPIA), and World Development Indicators, this study employs the generalized method of moments (GMM) approach to address endogeneity issues inherent in economic analyses. The findings indicate that a shift toward a greener economy significantly enhances food safety, with each one-point improvement in green economic indicators associated with a 0.24% increase in food safety levels. This underscores that as African economies reduce carbon footprints and adopt sustainable agricultural practices, they experience fewer food safety challenges, largely due to improved environmental health and reduced biodiversity loss. The study concludes that prioritizing green economic growth is essential for environmental sustainability and the agricultural sector’s stability. These insights emphasize the need for policymakers and stakeholders to implement green economy strategies that enhance both ecological resilience and food security, ultimately improving health and livelihood outcomes in African communities.This study stands apart from existing literature by uniquely focusing on the relationship between the green economy and food safety within the African context, which remains underexplored despite the continent’s pressing environmental and food security challenges. Utilizing a dynamic panel Generalized Method of Moments (GMM) model, the research rigorously addresses endogeneity concerns to provide robust insights into how environmental management and other green economy policies influence food safety outcomes across 37 African nations. This methodological approach enables more accurate capture of temporal dynamics and causal relationships, offering policymakers context-specific, evidence-based recommendations tailored to Africa's socio-economic and ecological realities.

Genome assembly of a diversity panel of Chenopodium quinoa

Quinoa (Chenopodium quinoa) is an important crop for the future challenges of food and nutrient security. Deep characterization of quinoa diversity is needed to support the agronomic improvement and adaptation of quinoa as its worldwide cultivation expands. In this study, we report the construction of chromosome-scale genome assemblies of eight quinoa accessions covering the range of phenotypic and genetic diversity of both lowland and highland quinoas. The assemblies were produced from a combination of PacBio HiFi reads and Bionano Saphyr optical maps, with total assembly sizes averaging 1.28 Gb with a mean N50 of 71.1 Mb. Between 43,733 and 48,564 gene models were predicted for the eight new quinoa genomes, and on average, 66% of each quinoa genome was classified as repetitive sequences. Alignment between the eight genome assemblies allowed the identification of structural rearrangements including inversions, translocations, and duplications. These eight novel quinoa genome assemblies provide a resource for association genetics, comparative genomics, and pan-genome analyses for the discovery of genetic components and variations underlying agriculturally important traits.

Adaptation in adversity: innovative approaches to food security amidst COVID-19 in a remote First Nations community in Canada

The COVID-19 pandemic exacerbated food insecurity issues in geographically isolated communities, including Fort Albany First Nation (FAFN). This research examines FAFN’s adaptive strategies to improve food security, highlighting community resilience and leadership. Data were gathered through semi-structured interviews with 20 community members who were involved in the pandemic response, either as members of the pandemic committee or as managers of community programs. Thematic analysis revealed significant adaptation of existing programs and the establishment of new initiatives to address food security during the pandemic. Initiatives, such as the community garden and the Fort Albany Farmers Market were food security programs that existed prior to the pandemic, and despite labor shortages during the pandemic, logistical hurdles were addressed to maintain operations and enhance food distribution efficiency. New emergency food initiatives, backed by government support and community efforts, successfully delivered food to vulnerable households. Traditional subsistence activities, such as hunting and fishing, were essential for providing sustenance and strengthening community resilience. These adaptive strategies highlight the critical role of local leadership, community participation and ingenuity, and the utilization of Indigenous knowledge in overcoming food security challenges during crises. This paper underscores the need to support Indigenous food sovereignty and build resilient local food systems tailored to the unique needs of First Nations communities. The experiences of FAFN during the COVID-19 pandemic provide invaluable insights into the resilience and innovation required to improve food security in remote and vulnerable populations, emphasizing the need for sustained investment and policy support in these communities.

The role of spirulina in food security: Nutritional and ecological implications in the context of climate change

Abstract In the context of a changing climate and the goal of achieving carbon neutrality by 2050, microalgae, particularly spirulina, are emerging as a versatile and sustainable solution to ensure food security, serving as an alternative protein source for human consumption. Spirulina can absorb carbon dioxide during photosynthesis, grows rapidly, does not require arable land, is cultivated year-round, and is rich in protein as well as other macro- and micronutrients. Spirulina stands out not only for its resilience and adaptability to a range of environmental conditions – including variations in light, temperature, pH, and salinity – but also for its low water requirements, making it a promising option for regions with limited water resources. It can address food security challenges by providing nutritional benefits as a dietary supplement and enhancing animal feed quality. Additionally, it supports sustainable agriculture as a biostimulant, improving crop productivity and soil health while reducing reliance on chemical inputs. Its potential as a raw material across various industries and the exploration of new applications make spirulina an attractive candidate for future research, which should focus on enhanced profitability and large-scale accessibility.

Framing the Schemata: Western Media Coverage of African Technological Innovations

This study examines the framing of African technological innovations in Western media over the past two decades (2003–2023), focusing on four case studies: M-Pesa, LifeBank, FarmDrive, and NigeriaSat-1. Using a qualitative research design that integrates content analysis and framing theory, we analyze how major media outlets, including the BBC, CNN, The Guardian, Reuters, and The New York Times, represent African innovations. The analysis reveals that media coverage tends to frame these innovations primarily through a humanitarian lens, emphasizing their role in addressing poverty, healthcare, and food security challenges. While highlighting the social impact of these technologies, this narrative often overlooks their broader potential for global scalability and industry disruption. To complement the content analysis, we conducted 24 semi-structured interviews with tech entrepreneurs, media professionals, and scholars from Kenya, Ghana, Nigeria, and Senegal, investigating their perspectives on how Western media coverage impacts investment and collaboration in African technological sectors. The interview findings confirm that such media portrayals hinder international investment and partnership opportunities by reinforcing the narrative that African technologies are primarily crisis management tools, rather than innovative solutions with global market potential. This article argues for a shift in this narrative, recommending policies that include strategic media advocacy, enhanced public relations, and increased investment in Research and Development.

Insights into food security: affordability perspectives from Bayesian belief network models

PurposeThis study investigates the dependencies between the Global Food Security Index (GFSI) and its affordability-related indicators using Bayesian belief network (BBN) models. The research also aims to prioritise these indicators within a probabilistic network setting.Design/methodology/approachThe research utilises BBN models to analyse data from 113 countries in 2022. Nine indicators related to food affordability, including income inequality, safety net programmes and trade freedom, are examined to understand their impact on food security. The methodology involves statistical modelling and analysis to identify critical factors influencing food security and to provide a comprehensive understanding of the global food affordability landscape.FindingsThe study reveals that income inequality, the presence and efficacy of safety net programmes and the degree of trade freedom are significant determinants of food affordability and overall food security outcomes. The analysis reveals marked disparities in performance across different countries, highlighting the need for context-specific interventions. The findings suggest that improving safety net programmes, implementing trade policy reforms and addressing income inequality are crucial for enhancing food affordability and security.Originality/valueThis research contributes to the literature by using BBN models to comprehensively analyse the relationship between the GFSI and affordability-related indicators. The study provides novel insights into how different socioeconomic factors influence food security across a diverse range of countries. The study offers actionable recommendations for policymakers to address food security challenges effectively, thereby supporting the development of more equitable and resilient food systems globally.

Analysis of the Trends and Driving Factors of Cultivated Land Utilization Efficiency in Henan Province from 2000 to 2020

Amid persistent global food security challenges, the efficient utilization of cultivated land resources has become increasingly critical, as optimizing Cultivated Land Utilization Efficiency (CLUE) is paramount to ensuring food supply. This study introduced a cultivated land utilization index (CLUI) based on Fractional Vegetation Cover (FVC) to assess the spatiotemporal variations in Henan Province’s CLUE. The Theil–Sen slope and the Mann–Kendall test were used to analyze the spatiotemporal variations of CLUE in Henan Province from 2000 to 2020. Additionally, we used a genetic algorithm optimized Artificial Neural Network (ANN) and a particle swarm optimization-based Random Forest (RF) model to assess the comprehensive in-fluence between topography, climate, and human activities on CLUE, in which incorporating Shapley Additive Explanations (SHAP) values. The results reveal the following: (1) From 2000 to 2020, the CLUE in Henan province showed an overall upward trend, with strong spatial heterogeneity across various regions: the central and eastern areas generally showed decline, the northern region remained stable with slight increases, the western region saw significant growth, while the southern area exhibited complex fluctuations. (2) Natural and economic factors had notable impacts on CLUE in Henan province. Among these factors, population and economic factors played a dominant role, whereas average temperature exerted an inhibitory effect on CLUE in most parts of the province. (3) The influenced factors on CLUE varied spatially, with human activity impacts being more concentrated, while topographical and climatic influences were relatively dispersed. These findings provide a scientific basis for land management and agricultural policy formulation in major grain-producing areas, offering valuable insights into enhancing regional CLUE and promoting sustainable agricultural development.

Contribution of fish to food and nutrition security in Southern Africa: challenges and opportunities in fish production.

This study investigated the role of fish in addressing food and nutrition security challenges in Southern Africa, focusing on 10 countries including Angola, Zambia, Malawi, Mozambique, Namibia, Botswana, Zimbabwe, Lesotho, Eswatini, and South Africa. It examined the current state of food and nutrition security, fish production, and fish consumption patterns. Additionally, the study investigated the challenges and opportunities to enhance fish production in these countries thereby enhancing food and nutrition security. The findings revealed persistent challenges such as a high prevalence of food insecurity and malnutrition throughout the region. Fish production is hindered by overexploitation of fishery resources, inadequate fisheries management, susceptibility to climate-related shocks, limited investments in aquaculture, and inadequate access to input supplies such as quality fish seed and feed. Despite these obstacles, opportunities exist to promote sustainable fish production to enhance food security and nutrition. Countries endowed with extensive coastlines and inland waters exhibit significant potential for fishery development, while landlocked nations are increasingly exploring aquaculture as a viable solution. Addressing the challenges in fish production and capitalizing on opportunities requires comprehensive governance, technological innovation, policy interventions, and investment to ensure the sustainability and resilience of the fisheries and aquaculture industries in the region.

Cultured Meat Consumer Acceptance: Addressing Issues of Eco-Emotions

Meat substitutes, in particular cultured meat, appear to be an effective way of combating climate change, ensuring human and animal welfare, and meeting the challenges of food security. In the face of the climate emergency, we need to speed up the decarbonization of local and national economies and curb populations’ negative emotional responses. Eco-emotions (such as fear) can indeed go so far as to cause disengagement from the environmental transition and hamper action. The aim of this article is to understand and predict, from the perspective of the extended theory of planned behaviour (TPB), (i) consumer intentions and (ii) the determinants of the adoption of cultured meat by introducing two important variables drawn from the literature on eco-emotions, i.e. eco-anger and eco-depression. The results show that, in addition to the traditional TPB variables (attitudes, subjective norms, perceived behavioural control), eco-depression has a significant effect on consumer intentions and the acceptability of cultured meat. This research can help to improve decision-making processes and to effectively predict intentions, acceptability, and purchasing behaviour with regard to cultured meat. Organizations will be able to use this model to propose differentiated marketing techniques, optimize marketing campaigns, and improve citizen engagement.

Bibliometric synthesis of intelligent systems in agriculture

Abstract This study undertakes a bibliometric analysis of recent investigations centered on intelligent systems in agriculture, a combined quantitative and qualitative approach is adopted, which is based on Visualization of Similarities (VOS) method. We then map prominent areas of interest, evaluate international collaboration extents, and identify potential research gaps. Aligned with the United Nations’ vision, the Sustainable Development Goals (SDGs) place a spotlight on the interconnection of poverty eradication (SDG 1), zero hunger (SDG 2), and fostering innovation and infrastructure development (SDG 9). The United Nations recognizes the profound challenges posed by global food insecurity, malnutrition, and the increasing vulnerability of the food system to environmental changes. As populations grow and the demand for food surges, there is an imperative to innovate and transform our agricultural and food systems. Adopting advanced technologies, like precision agriculture, remote sensing, Internet of Things (IoT), artificial intelligence (AI), and robotics, offers a promising avenue to address these challenges. Yet, despite the profound implications of these technologies in transforming agriculture, there remains a notable need for comprehensive research in this domain. Enhancing agricultural productivity, reducing resource wastage, and championing sustainability are pressing concerns. This study undertakes a bibliometric analysis of recent investigations centered on intelligent systems in agriculture, sourcing data from the Scopus database. To comprehensively analyze this vast dataset, a combined quantitative and qualitative approach is adopted, which is based on the visualization of similarities (VOS) method. We then map prominent areas of interest, evaluate international collaboration extents, and identify potential research gaps. Our findings offer pivotal insights that can shape the trajectory of future research and development in the agricultural sector. The significance of our analysis extends beyond academic interest. The insights derived hold the potential to catalyze the growth of smart systems in agriculture, addressing global food security challenges in the process. Moreover, by championing sustainable agricultural practices via intelligent systems, our study underscores its alignment with SDGs, notably those aiming at ensuring zero hunger and promoting responsible consumption and production.

Application of geospatial technology and decision model in the development of improved food security index

Most developing countries are currently experiencing a severe food security crisis. A good policy to mitigate food insecurity is dependent on accurate assessment. Therefore, an improved assessment of food situation is important in implementing food security measures. Existing food security assessments are limited in integrating localized variables, often needing more context-specific information. This study proposes a new food security index (Hybrid Food Security Index-HFSI), the Nigerian state was used as a case study. Data used include; food consumption, poverty levels, variability in food prices, inflation, climate variability data and the status of road infrastructure. The study also integrated a hybrid Multi-criteria Criteria Decision Model (MCDM) and geo-spatial technology. The geo-spatial presentation of food security across Nigeria shows that food security is generally better in the Southern part of the country than in the Northern region. Broadly, indicators’ performance primarily improves from the country’s North to South, which suggests that Northern states tend to be less food secure than Southern states. According to the Fuzzy-DEMATEL-ANP model, the Poverty level indicator significantly impacts the food security situation in all focused states, as it received the highest priority weight of 0.1487. The study recommends intensifying poverty alleviation programs to improve food security, and women’s development programs should be prioritized. This study provides policymakers and stakeholders with evidence-based assessments to address food security challenges in Nigeria.

Yield and Growth Response of Selected Potato Cultivars to Different Mulch and Fungicide Applications, and Various Localities Under Rainfed Conditions

AbstractThere is a stark yield gap between sub-Saharan African (SSA) potato productivity compared to other regions, leading to food security challenges. Hence, there is an immediate need to improve SSA potato yield. Research trials were under smallholder settings to determine effective management practices on the integration of selected potato cultivars, fungicides, mulch application, and different localities. Tested factors mulch application (mulch, not mulch), fungicide (sprayed and unsprayed) and different potato cultivars (Electra, Mondial, Panamera, and Sababa) were laid in a randomized complete block design in under five localities (Gobizembe, Hlathikhulu, Mbalenhle, Mbhava, and Stezi), and replicated three times over two consecutive seasons. Data collection included climatic data, emergence, days to flowering, plant height, physiological maturity, stem number yield, and yield components. Integration of Electra, fungicide (sprayed or unsprayed), and mulch application (mulch or not mulch) under humid, low atmospheric water demand, dominated by sandy soils and high-altitude locality had higher yields with the highest of 64.2 t ha−1 and a harvest index of 90.2%. In the locality that is on a south-facing slope, with the lowest altitude, clayed soils had the lowest yield of 13.4 t ha−1 from Mondial cultivar under unsprayed and no mulch. Electra cultivar showed consistent performance under different practices and yielded more across localities. Hence, it is recommended that effective management practices such as Electra together with fungicide (spraying or unsprayed) and mulch (mulch or not mulch) can be adopted to increase potato yield under rainfed conditions.

Cloud-based Internet of Things Approach for Smart Irrigation System

The agriculture sector is facing numerous challenges such as water scarcity, climate change, and low productivity due to outdated farming practices. In most of the countries, 75% of their GDP depends on the agricultural products. Hence at most care has to be taken to introduce modern technology in the agriculture sector to enhance its productivity and efficiency. This paper presents an IOT Based Smart Agriculture Monitoring System aimed to increase the agricultural productivity through automating and optimizing crop management. The first objective of the proposed system is to supply the water to the crops based on soil moisture and the surrounding temperature. It can be achieved through soil moisture sensor, DHT11 sensor, light sensitive module and Node MCU. All sensors are interfaced with Node MCU. The data collected through sensor will be processed by the processor. Whenever the soil moisture is less and temperature is more, the pump will be automatically switched on for irrigation. Apart from this the collected data from sensor is also transmitted to the cloud through Thingspeak. The same information can be accessed by the farmers to monitor the crops remotely and improve the productivity. By providing farmers with real time data on their crops, the system can help them make informed decisions regarding water and fertilizer usage, pest control, and harvesting times. This, in turn, can lead to increased crop yields, reduced costs, and improved profitability. With the increasing demand for food production and the need to address the challenges of climate change and food security, this project serves as a promising solution for sustainable agriculture.

Integration and coherence in food governance—a comprehensive analysis of food security public programs in Chile

This study critically examines Chilean food governance. In particular it focuses on two aspects of inter-ministerial governance: policy “integration” and policy “coherence.” It does so by evaluating the alignment between two key policy objectives within the Chilean government; the Social Determinants of Health (SDH) and National Food and Nutrition Policy (NFNP) objectives. This is accomplished by using publicly available data at the Integrated Bank of Social Programs (BIPS – Banco Integrado de Programas Sociales) collected in 2021. Utilizing mixed methods including content analysis, program review, and financial analysis, 245 public programs were scrutinized. Only 0.042% of the 2021 national budget for public programs was allocated to n = 70 key programs directly addressing food and nutrition security (FNS), highlighting significant resource disparities among ministries. While some inter-ministerial integration was observed, overall coherence with NFNP objectives, particularly in “health integration and intersectorality,” was lacking. Since disparities in resource allocation and neglect of stability and agency within food security across ministries are identified, indicating a variegated approach to food security with differing emphases on availability, utilization, and access, this study calls for a collaborative, multi-sectoral strategy to bridge policy gaps and enhance coherence in addressing food security challenges. Its findings contribute to the discourse on food governance, offering insights into policy implementation gaps and suggesting avenues for enhancing inter-ministerial integration and coherence. This research underscores the importance of a comprehensive approach to policy formulation and execution in achieving NFNP goals and addressing the complex challenges of food security in Chile.

Promoting artificial meat to improve food security and reduce resource-environment pressure: is it practicable in China?

Artificial meat is increasingly recognized as a crucial innovation for addressing global food security challenges and reducing environmental pressures. This study aims to understand the practicability of promoting artificial meat consumption to achieve the dual goals of improving food security and reducing resource-environment pressure by evaluating Chinese consumers’ willingness to pay (WTP) for artificial meat. A discrete choice experiment was conducted via an online survey involving 998 consumers from five representative Chinese cities. The experiment was designed to elicit preferences and WTP for artificial meat. A random information intervention providing positive information about artificial meat was included to examine its impact on consumer choices. The estimation results indicate significantly lower WTP for both cultured and plant-based meat compared to farm-raised meat, with plant-based meat receiving higher WTP than cultured meat. The information intervention notably reduced the WTP gap between artificial meat and farm-raised meat, suggesting that consumer education can positively influence acceptance. The findings suggest that the market introduction of artificial meat in China faces considerable challenges, particularly regarding consumer acceptance and perceived value. While positive information can reduce the disparity in WTP, the practicability of promoting artificial meat to achieve food security and environmental sustainability goals is currently limited. This study contributes to the literature on consumer attitudes towards artificial meat in China and provides critical insights for policymakers aiming to promote the consumption of artificial meat.

Single-cell transcriptomics: a new frontier in plant biotechnology research.

Single-cell transcriptomic techniques have ushered in a new era in plant biology, enabling detailed analysis of gene expression at the resolution of individual cells. This review delves into the transformative impact of these technologies on our understanding of plant development and their far-reaching implications for plant biotechnology. We present a comprehensive overview of the latest advancements in single-cell transcriptomics, emphasizing their application in elucidating complex cellular processes and developmental pathways in plants. By dissecting the heterogeneity of cell populations, single-cell technologies offer unparalleled insights into the intricate regulatory networks governing plant growth, differentiation, and response to environmental stimuli. This review covers the spectrum of single-cell approaches, from pioneering techniques such as single-cell RNA sequencing (scRNA-seq) to emerging methodologies that enhance resolution and accuracy. In addition to showcasing the technological innovations, we address the challenges and limitations associated with single-cell transcriptomics in plants. These include issues related to sample preparation, cell isolation, data complexity, and computational analysis. We propose strategies to mitigate these challenges, such as optimizing protocols for protoplast isolation, improving computational tools for data integration, and developing robust pipelines for data interpretation. Furthermore, we explore the practical applications of single-cell transcriptomics in plant biotechnology. These applications span from improving crop traits through precise genetic modifications to enhancing our understanding of plant-microbe interactions. The review also touches on the potential for single-cell approaches to accelerate breeding programs and contribute to sustainable agriculture. This review concludes with a forward-looking perspective on the future impact of single-cell technologies in plant research. We foresee these tools becoming essential in plant biotechnology, spurring innovations that tackle global challenges in food security and environmental sustainability. This review serves as a valuable resource for researchers, providing a roadmap from sample preparation to data analysis and highlighting the transformative potential of single-cell transcriptomics in plant biotechnology.

A field study integrating plant physiology-soil response for quantifying wilting and plant survival time in a polymer-amended soil

Water deficiency caused by climate change is a global challenge for food security. Viable sustainable alternatives for enhancing water storage in the soil is a necessity for arid and drought prone regions. Water-absorbing polymer (WAP) is capable of improving the water storage in soil pores, and its efficacy can be ascertained by evaluating the resilience of plants towards wilting. The main objective of this study was field demonstration on the usefulness of fly ash-based WAP (FA-WAP) in prolonging wilting and plant survival time of beans (Phaseolus vulgaris) and radish (Raphanus sativus) in a silt loam. This was achieved by following a novel methodology for determining plant permanent wilting point (PWP) by integrating both soil response (suction) and plant response (stomatal conductance and photosynthetic yield), as against the common practice of considering a reference negative water potential (or soil suction) value of 1500 kPa. Using the proposed methodology, the PWP was 1300 kPa and 1150 kPa for beans and radish, respectively. The measured soil water retention curves (SWRC) demonstrated higher water availability in the WAP-amended soil compared to the control soil for both plant species, thereby prolonging plant survival time. The presence of WAP positively influenced the plant biochemical parameters (such as H2O2, MDA, proline, CHL A+B) under water deficit conditions. The WAP amendment resulted in 2.3 and 1.4 times crop yield for beans and radish, respectively, compared to the unamended soil. The use of FA-WAP has a high potential to reduce the irrigation water demand without compromising the yield of two vegetable species considered in this study.

Impact of No Tillage and Low Emission N Fertilization on Durum Wheat Sustainability, Profitability and Quality

Mitigation practices for cereal systems, including conservation agriculture and low emission fertilization, are required to face global challenges of food security and climate change. The combination of these climate-smart approaches was investigated for durum wheat in a dry region of the Mediterranean basin in two crop seasons. The experimental design consisted in two different genotypes, Marco Aurelio (high protein content) and Saragolla (higher adaptability), subjected to no tillage (NT) vs. conventional tillage (CT) and to two fertilization strategies (standard vs. low emission plus an unfertilized control). Different environmental and economic sustainability parameters as well as two different technological and nutritional quality traits were evaluated. Saragolla showed a better environmental adaptability and a higher nitrogen use efficiency, evaluated as partial nutrient balance (+27%), and was associated with a lower protein content (14.5% vs. 15.6%). NT was associated with an improvement in yield (+15%) and quality, i.e., micronutrients (Fe, Zn) and antioxidant capacity (+15%), in the drier crop year. Low emission fertilization did not reduce crop performance and its combination with NT showed a higher economic net return. The combination of the two mitigation practices improved not only environmental and economic sustainability but also the health quality of durum wheat under water limited conditions.

Leveraging Robotics for Sustainable Agriculture: A Comparative Analysis of Africa and the EU’S Food Security Strategies

The intensifying demand for food production, driven by population growth and climate pressures, has placed a strain on agricultural systems worldwide, particularly in Africa and the European Union (EU). This paper presents a comparative analysis of the adoption of robotics in agriculture across these regions, exploring the current practices, limitations, and advancements shaping the future of sustainable farming. In Africa, limited infrastructure, high costs, and technological barriers hinder the integration of robotics, challenging smallholder farmers and reducing productivity. Conversely, the EU demonstrates more advanced adoption, supported by robust policy frameworks and technology infrastructure, although it faces challenges including workforce aging and the need for ethical guidelines in AI applications. This study highlights significant case studies within the EU, such as those in the Netherlands and Germany, showcasing the economic and environmental impacts of robotics in diverse farming models. The analysis extends to the benefits of robotics in increasing productivity and resource efficiency while reducing labor dependency, contributing to precision farming practices and environmental sustainability. The findings underscore the critical role of robotics in future agricultural systems, suggesting that while Africa faces more immediate barriers to adoption, targeted investments and policy adaptations could bridge these gaps. The study concludes by advocating for tailored, region-specific strategies to achieve sustainable agriculture through robotics, underscoring the technology's potential to address global food security challenges in Africa and the EU.

Genomic survey and evolution analysis of calcium-dependent protein kinases in plants and their stress-responsive patterns in populus

BackgroundCalcium-dependent protein kinases (CDPKs) phosphorylate downstream target proteins in response to signals transmitted by free calcium ions (Ca2+, one of the second messengers) and thus play important regulatory roles in many biological processes, such as plant growth, development, and stress response.ResultsA bioinformatic analysis, as well as thorough evolutionary and expression investigations, were conducted to confirm previous reports of functional evidence for plant CDPKs. Using the Phytozome database’s BLAST search engine and the HMM search tool in TBtools software, we discovered that CDPKs are well conserved from green algae to flowering angiosperms in various gene family sizes. Additional investigations of the obtained CDPKs revealed high conservation of domain and motif numbers, gene architectures, and patterns. However, this conservation differed among plant species. Phylogenetic analysis demonstrated that the CDPK gene family diverged from a common ancient gene. Similarly, investigations into plant interspecies evolutionary relationships revealed common ancestral plant species, suggesting speciation of plants and evolution based on plant adaptation and diversification. A search for the driving force of CDPK gene family expansion revealed that dispersed duplication events, among other duplication events, contributed largely to CDPK gene family expansion. Gene localization analysis in P. trichocarpa demonstrated that most CDPK genes are localized within several cell organelles and bind other kinases and proteins to perform their biological functions efficiently. Using RNA-seq data and qPCR analyses, we postulated that PtCDPKs play functional roles in abiotic stress responses by regulating cold, heat, drought and salt stress to varying extents.ConclusionThe CDPK genes are well conserved in plants and are critical entities in abiotic stress regulation, and further exploration and manipulation of these genes in the future may provide solutions to some of the challenges in agriculture, forestry and food security.