Search Results (88)

Sub-Saharan Africa (SSA) is experiencing escalating climate variability, land degradation, and food insecurity, which threaten livelihoods and economic stability. Sustainable agricultural practices (SAPs), including climate-smart agriculture, conservation agriculture, and agroecology, offer promising strategies to boost productivity while enhancing ecological stability. This review proposes that multidisciplinary integration of SAPs, encompassing agronomy, socioeconomics, and governance, is the most promising route to achieving climate-resilient food systems in SSA by 2030. Despite its proven benefits, the use of SAPs remains limited. This is largely because of financial constraints, weak institutional frameworks, and inadequate infrastructure. To address these challenges, this review evaluates the role of SAPs in mitigating climate risk, improving soil health, and enhancing food security. It also identifies systemic adoption barriers and examines the effectiveness of policy and financing frameworks. Drawing on evidence from across SSA, including Ethiopia’s agroforestry success and Senegal’s millet resilience, this review highlights how integrating sustainable practices with postharvest innovation and community-driven approaches can strengthen food systems. Ultimately, the findings underscore that weaving science, policy, and grassroots action is essential for building a resilient and food-secure SSA, particularly within the context of the 2025 global adaptation agenda. Full article

Water, the lifeblood of our planet, sustains ecosystems, economies, and communities. However, climate change and increasing hydrological variability have exacerbated global water scarcity, threatening livelihoods and economic stability. According to the United Nations, over 2 billion people currently live in water-stressed regions, a figure expected to rise significantly by 2030. To address this urgent challenge, this study proposes an AI-driven anomaly detection framework for smart water metering networks (SWMNs) using machine learning (ML) techniques and data resampling methods to enhance water conservation efforts. This research utilizes 6 years of monthly water consumption data from 1375 households from Location A, Windhoek, Namibia, and applies support vector machine (SVM), decision tree (DT), random forest (RF), and k-nearest neighbors (kNN) models within ensemble learning strategies. A significant challenge in real-world datasets is class imbalance, which can reduce model reliability in detecting abnormal patterns. To address this, we employed data resampling techniques including random undersampling (RUS), SMOTE, and SMOTEENN. Among these, SMOTEENN achieved the best overall performance for individual models, with the RF classifier reaching an accuracy of 99.5% and an AUC score of 0.998. Ensemble learning approaches also yielded strong results, with the stacking ensemble achieving 99.6% accuracy, followed by soft voting at 99.2% and hard voting at 98.1%. These results highlight the effectiveness of ensemble methods and advanced sampling techniques in improving anomaly detection under class-imbalanced conditions. To the best of our knowledge, this is the first study to explore and evaluate the combined use of ensemble learning and resampling techniques for ML-based anomaly detection in SWMNs. By integrating artificial intelligence into water systems, this work lays the foundation for scalable, secure, and efficient smart water management solutions, contributing to global efforts in sustainable water governance. Full article

This review summarizes the role of soil in climate change mitigation and highlights the potential of agricultural practices to support this effort. It provides an overview of methods that enhance soil carbon sequestration and reduce carbon dioxide emissions from soils. After presenting a brief global overview, we focus on how the organic carbon stocks of Hungarian agricultural areas have changed over the past decades, underscoring the importance of climate-smart agricultural practices. We examine how these practices—such as cover crops, conservation tillage, fertilization, crop rotation, regenerative agriculture, and agroforestry—affect soil carbon stocks. While the review draws on global research, its primary focus is on practices applicable in Hungary. The effectiveness and feasibility of these climate-smart agricultural practices depend significantly on local climate, geographical location, and soil conditions. Therefore, we thoroughly analyze the applicability and limitations of each practice within the Hungarian context. In addition, we explore temporal trends to assess how the adoption of certain climate-smart practices has evolved over the past one to two decades. Lastly, we discuss the challenges of implementing the presented practices from economic, policy, regulatory, and human perspectives. Full article

Climate-change-induced drought threatens forest restoration by limiting seedling establishment. To address this, we developed synthetic bacterial communities (SynComs) tailored to support drought tolerance in two Mediterranean tree species, Quercus pubescens and Sorbus domestica. Bacteria were isolated from forest soil exposed to long-term drought, sampling across soil depths and root-associated compartments. We selected strains with key plant-beneficial traits, including exopolysaccharide (EPS) production, hormone synthesis (auxin, ABA), siderophore release, and osmotic tolerance. SynComs were assembled based on functional complementarity and ecological origin. Biofilm assays showed that even weak individual producers could enhance community-level performance. After initial screening on Arabidopsis thaliana, the most and least effective SynComs were tested on Q. pubescens and S. domestica seedlings. Compared to controls, the best-performing SynComs reduced the proportion of drought-symptomatic seedlings by 47% in Q. pubescens and 71% in S. domestica, outperforming single-strain inoculants. Notably, EPS-rich SynCom B aligned with the conservative root traits of Q. pubescens, while hormone-rich SynCom F matched the acquisitive strategy of S. domestica. Predictive modeling identified bacterial identity and symptom timing as key predictors of drought resilience. Our results highlight the value of matching microbial traits with plant strategies and drought context for climate-smart forest restoration. Full article

Rapid urbanization, climate variability, and land degradation are increasingly challenging traditional open-field farming systems. Soilless farming (SLF) has emerged as a complementary approach to enhance horticultural resilience in space-constrained and climate-stressed environments. This review critically evaluates the role of SLF within the broader framework of climate-smart agriculture (C-SA), with a particular focus on its applications in urban and peri-urban settings. Drawing on a systematic review of the existing literature, the study explores how SLF technologies contribute to efficient resource use, localized food production, and environmental sustainability. By decoupling crop cultivation from soil, SLF enables precise control over nutrient delivery and water use in enclosed environments, such as vertical farms, greenhouses, and container-based units. These systems offer notable advantages regarding water conservation, increased yield per unit area, and adaptability to non-arable or degraded land, making them particularly relevant for high-density cities, arid zones, and climate-sensitive regions. SLF systems are categorized into substrate-based (e.g., coco peat and rock wool) and water-based systems (e.g., hydroponics, aquaponics, and aeroponics), each with distinct design requirements, nutrient management strategies, and crop compatibility. Emerging technologies—including artificial intelligence, the Internet of Things, and automation—further enhance SLF system efficiency through real-time data monitoring and precision control. Despite these advancements, challenges remain. High setup costs, energy demands, and the need for technical expertise continue to limit large-scale adoption. While SLF is not a replacement for traditional agriculture, it offers a strategic supplement to bolster localized food systems and address climate-related risks in horticultural production. Urban horticulture is no longer a peripheral activity; it is becoming an integral element of sustainable urban development. SLF should be embedded within broader resilience strategies, tailored to specific socioeconomic and environmental contexts. Full article

The long-term arid climate in Xinjiang poses a major challenge to sustainable jujube production. In this study, we systematically evaluated the impacts of deficit irrigation (DI) by comparing a full irrigation control (CK) with six DI treatments—mild DI (75% CK) and severe DI (50% CK) water deficits applied during either flowering + fruit setting or fruit enlargement stages. The key findings demonstrate that flowering + fruit setting DI effectively balances water conservation with productivity. Mild DI (75% CK) during flowering + fruit setting reduced irrigation by 72 mm while maintaining near-optimal photosynthesis (95% recovery post-rewatering) and significantly improving fruit quality (5.49–10.28% higher sugar content, 3.40–5.06% larger fruit volume), despite a moderate 4.22–11.36% yield reduction. In contrast, severe DI caused irreversible physiological stress (only 75% photosynthetic recovery), and fruit-enlargement-stage DI uniformly compromised both yield and fruit size. An economic analysis confirmed flowering + fruit setting mild DI as optimal, generating 17,139–20,550 RMB·ha⁻¹ profit through enhanced water use efficiency (WUE) and premium-quality fruit production. PLS-PM validation revealed that targeted flowering + fruit setting water deficit suppresses vegetative overgrowth while optimizing source–sink relationships, achieving a 23–31% WUE improvement without sacrificing marketable yield. Thus, mild DI during flowering + fruit setting is a climate-smart irrigation strategy for Xinjiang’s jujube industry, resolving water scarcity challenges with economic viability. Full article

Climate-smart agriculture (CSA) has emerged as a critical strategy to address the intertwined challenges of climate change, food insecurity, and environmental degradation, particularly among smallholder farmers in Southern Africa. This study reviews the existing literature on the adoption and scaling of CSA innovations among smallholder farmers in South Africa, focusing specifically on the roles played by institutional mechanisms, policy frameworks, and market dynamics. The findings reveal that while CSA interventions—such as conservation agriculture, drought-tolerant crop varieties, and precision irrigation—have demonstrated positive outcomes in enhancing productivity, food and nutritional security, and climate resilience, adoption remains uneven and limited. Key barriers include insecure land tenure, insufficient extension and climate information services, limited access to credit and inputs, and fragmented institutional support. The analysis highlights the importance of secure land rights, functional farmer cooperatives, effective NGO involvement, and inclusive governance structures in facilitating CSA adoption. Further, the review critiques the implementation gaps in South Africa’s climate and agricultural policy landscape, despite the existence of comprehensive strategies like the National Climate Change Response Policy and the Agricultural Policy Action Plan. This study concludes that scaling CSA among smallholder farmers requires a holistic, multi-level approach that strengthens institutional coordination, ensures policy coherence, improves market access, and empowers local actors. Targeted financial incentives, capacity-building programs, and value chain integration are essential to transform CSA from a conceptual framework into a practical, scalable solution for sustainable agricultural development in South Africa. Full article

Greenhouse technologies provide controlled environmental conditions for crop growth, often incorporating automation to enhance productivity. Energy management, which involves monitoring, controlling, and conserving energy, is particularly crucial in northern climates, where greenhouses are among the most energy-intensive sectors of agriculture. This paper presents a comprehensive review of state-of-the-art greenhouse technologies from an energy management perspective, exploring their role in enhancing efficiency and sustainability. It examines the energy management framework, key technological advancements, benefits, challenges, and available solutions in the market. Furthermore, it discusses principles and methods of energy optimization, best practices for sustainable greenhouse operations, and emerging trends in smart grids, renewable integration, and automation. Unlike previous studies primarily focusing on agricultural and control perspectives, this review highlights new insights into integrating greenhouse energy management with smart grid participation, leveraging model predictive control (MPC) for energy optimization, multi-agent reinforcement learning (DRL) for adaptive control, and digital twin technology for real-time system modeling. By bridging greenhouse energy management with transactive energy platforms, this paper underscores the importance of intelligent, data-driven decision-making in enhancing efficiency, sustainability, and system resilience while minimizing environmental impact. Full article

Rapid population growth, rising food demand, and climate change have created significant challenges to meet the water demands for agriculture. Effective irrigation water management is essential to address the world’s water crisis. The transition from conventional, frequently ineffective gravity-driven irrigations to contemporary, pressure-driven precision irrigation methods are explored in this article, addressing the difficulties associated with water-intensive irrigation, the possibility of updating conventional techniques, and the developments in smart and precision irrigation technologies. This study comprehensively analyses published literature of 150 articles from the year 2005 to 2024, based on titles, abstract, and conclusions that contain keywords such as precision irrigation scheduling, water-saving technologies, and smart irrigation systems, in addition to providing potential solutions to achieve sustainable development goals and smart agricultural production systems. Moreover, it explores the fundamentals and processes of smart irrigation, such as open- and closed-loop control, precision monitoring and control systems, and smart monitoring methods based on soil data, plant water status, weather data, remote sensing, and participatory irrigation management. Likewise, to emphasize the potential of these technologies for a more sustainable agricultural future, several smart techniques, including IoT, wireless sensor networks, deep learning, and fuzzy logic, and their effects on crop performance and water conservation across various crops are discussed. The review concludes by summarizing the limitations and challenges of implementing precision irrigation systems and AI in agriculture along with highlighting the relationship of adopting precision irrigation and ultimately achieving various sustainable development goals (SDGs). Full article

This study reviews research from 2010 to 2023 on the integration of airborne laser scanning (ALS) metrics with satellite and ground-based data for forest monitoring, highlighting the potential of the combined use of ALS and optical remote sensing data in improving the accuracy and the frequency. Following an in-depth screening process, 42 peer-reviewed scientific manuscripts were selected and comprehensively analyzed, identifying how the integration among different sources of information facilitate frequent, large-scale updates, crucial for monitoring forest ecosystems dynamics and changes, aiding in supporting sustainable management and climate smart forestry. The results showed how ALS metrics—especially those related to height and intensity—improved estimates precision of forest volume, biomass, biodiversity, and structural attributes, even in dense vegetation, with an R² up to 0.97. Furthermore, ALS data were particularly effective for monitoring urban forest variables (R² 0.83–0.92), and for species classification (overall accuracy up to 95%), especially when integrated with multispectral and hyperspectral imagery. However, our review also identified existing challenges in predicting biodiversity variables, highlighting the need for continued methodological improvements. Importantly, while some studies revealed great potential, novel applications aiming at improving ALS-derived information in spatial and temporal coverage through the integration of optical satellite data were still very few, revealing a critical research gap. Finally, the ALS studies’ distribution was extremely biased. Further research is needed to fully explore its potential for global forest monitoring, particularly in regions like the tropics, where its impact could be significant for ecosystem management and conservation. Full article

Agriculture in the Indian Sundarbans deltaic region primarily depends on a rice-based monocropping system during the rainy season, with the subsequent season often remaining fallow. To mitigate this issue, a series of experiments using zero tillage and straw mulching (ZTSM) potato cultivation were conducted over eight consecutive years (2017–2024) across various islands in the Sundarbans Delta, West Bengal, aimed to intensify the cropping system and ensure the betterment of the land use pattern using climate-smart agricultural practices. In the initial two years, the experiments concentrated on assessing different potato cultivars and nutrient dosages under zero tillage and paddy straw mulching conditions. During the subsequent years, the focus shifted to field demonstrations under diverse climatic conditions. The research included the application of different macronutrients and growth regulators, in combination with different depths of straw mulching. In the final years of the study, the intervention was dedicated solely to the horizontal expansion of cultivated land. These initiatives aimed to enhance agricultural productivity and sustainable land use in the polders, promoting climate-resilient farming practices. From the sets of experiments, we standardized the sustainable nutrient management strategies and selection of appropriate potato cultivars vis-à-vis depth of straw mulching and, finally, the overall best agronomic practices for the region. The adoption of the ZTSM potato cultivation system demonstrated considerable success, as evidenced by the remarkable increase in the number of farmers employing this sustainable agricultural practice. The number of farmers practicing zero tillage potato cultivation surged from 23 in the initial year to over 1100, covering an area of more than 15 ha, highlighting the effectiveness of the technology. The analysis of the estimated adoption also showed that more than 90% adoption is likely to be achieved within a decade. This potential expansion underscores the benefits of the ZTSM potato cultivation system in improving soil health, conserving water, and reducing labour and costs. As more farmers recognize the advantages of zero tillage potato mulching, this approach is poised to play a pivotal role in sustainable agriculture, enhancing productivity while promoting environmental stewardship. Full article

The term “urban planning for the contemporary age” describes the process of creating and overseeing urban areas to meet the many complex issues of the current times, such as social justice, climate change, growing urbanisation, and technological advancement. It places a strong emphasis on flexible, inclusive, and progressive approaches that strike a balance between sustainable development and the changing demands of various urban populations. Urban planning, particularly in the contemporary age, is a multidisciplinary discipline that tackles the complexity of contemporary cities that is influenced by social injustices, fast urbanisation, climate change, and technology breakthroughs. This entry paper examines how planners deal with these issues by using flexible, inclusive, and sustainable approaches that strike a balance between community well-being, environmental conservation, and growth. It looks at important topics including incorporating smart technology, building climate impact resilience, and creating inclusive, accessible, and egalitarian urban environments. The conflict between tradition and modernisation is also highlighted in the chapter, underscoring the necessity of creative solutions that protect cultural legacy while meeting contemporary needs. By examining global trends, this study offers insights into how urban planning is changing to satisfy the demands of a dynamic and connected society. The study used a literature review to identify the main areas that are influencing innovation in urban planning. It then delves into discussions on contemporary issues and complexities in shaping urban futures. The main research methods were a literature review and empirical analysis. In the end, it makes the case for rethinking urban futures with an emphasis on resilience, sustainability, and the welfare and well-being of urban residents. Full article

While agricultural crops remain at the forefront of addressing global food demands and malnutrition, depleting resources, fluctuating climatic conditions, and the adverse impact of biotic/abiotic stresses define a major challenge. Plant seeds comprise an important starting material for plant propagation, in vitro generation, and conservation, and are crucial factors in determining the quality and yield of the desired crops. The expanding horizon of precision agriculture suggests that high-quality seeds could promote crop productivity up to 15–20 percent, attributed to emerging biotechnological innovations in seed science and research. In addition, seed science comprises an integral aspect of sustainable development goals (SDGs), and plays a crucial role in Climate Action (SDG 13) and Zero hunger (SDG 2). While synthetic seed technologies highlight prospects in the propagation and conservation of key plant species, seed biopriming to address environmental stresses is innovative in climate-smart agriculture. The article discusses key developments in advanced seed biotechnologies, ranging from nano-enabled seed treatments to the non-coding RNA-mediated determination of seed traits and genetic manipulation of seeds for quality improvement. Research employing multi-omics, bioinformatics, and seed biopharming for the enhanced production of high-value metabolites is opening new avenues in seed biology and biotechnology research. Full article

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. Full article

Adaptation to climate change has remained a major socio-ecological issue in the Northern Region of Cameroon since 1973. Presently, this region is subject to the severe chaos of drought, floods, and ecosystem degradation, causing harm and disrupting climatic patterns. Climate change results in the drying of surface water and crops, threatening food security and the well-being of households. It has a serious impact on the entire agricultural production system at global scale. Here, it is suggested that successive adjustments to deeper systemic and transformational adaptations through efforts from NGOs, the Government, and donors, as well as innovations, are necessary to offset the negative impact of climate change on the agricultural value chain. Therefore, this research aimed to identify adaptation strategies and practices for rural communities and households, who suffer from limited access to these agricultural innovations, for a transformative adaptation. Through surveys and focus group discussions carried out in several villages in the Northern Cameroon Region, this study provides empirical data on emerging agricultural innovations in contrasting socio-economic, agricultural, and ecological contexts. Our findings demonstrate that agricultural innovations fostered at the village level have several characteristics that contribute to adaptation and mitigation of the impact of climate change. To begin with, conservation agriculture is very interesting, because crop residues left on the soil protect it from rainfall and dry winds, and gradually add humus to the top soil. In addition, agroforestry plays an important role for the household regarding ecosystem services, including food supply, soil fertility, protection from erosion, regulation of water regime, and sociocultural value. Generally, heads of households (83%) were more involved in innovative initiatives than other social strata, resulting in unequal access and proximity to agricultural innovations. Furthermore, the results highlight a significant lack of coordination and poor visibility of permanent structures supporting agricultural innovations at local level, weakening the sustainable transformation of adaptation. From a scientific perspective, this study could help build a conceptual relationship between agricultural innovation and sustainability transformation, i.e., a climate-smart agriculture. In practice, it provides levers that can be used to multiply and expedite agricultural innovation processes, water conservation, and livestock sustainability, thus contributing to the sustainability of the whole agricultural system in Cameroon and within the Sahel region of Africa. Full article