Global Agricultural Production Research Articles

Optimizing Management Practices under Straw Regimes for Global Sustainable Agricultural Production

Straw input is a helpful approach that potentially improves soil fertility and crop yield to ensure food security and protect the ecological environment. Nevertheless, unreasonable straw input results in massive greenhouse gas (GHG) emissions, leading to climate change and global warming. To explore the optimum combination of straw input and management practices for achieving green agricultural production, a worldwide data set was created using 3452 comparisons from 323 publications using the meta-analysis method. Overall, straw input increased soil carbon and nitrogen components as compared with no straw input. Additionally, straw input significantly boosted crop yield and nitrogen use efficiency (NUE) by 8.86% and 22.72%, respectively, with low nitrogen fertilizer rate benefiting the most. The cumulative of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emissions increased by 24.81%, 79.30%, and 28.31%, respectively, when straw was added. Global warming potential (GWP) and greenhouse emission intensity (GHGI) increased with the application of straw, whereas net global warming potential (NGWP) decreased owing to soil carbon sequestration. Low straw input rate, straw mulching, application of straw with C/N ratio > 30, long-term straw input, and no-tillage combined with straw input all result in lower GHG emissions. The GWP and GHGI were strongly related to area-scaled CH4 emissions, but the relationship with N2O emissions was weak. Straw application during the non-rice season is the most important measure for reducing CH4 emissions in paddy–upland fields. An optimum straw management strategy coupled with local conditions can help in climate change mitigation while also promoting sustainable agricultural production.

Air pollution as a substantial threat to the improvement of agricultural total factor productivity: Global evidence

ObjectiveThis study aims to provide empirical evidence about whether and to what extent air pollution affects the global agricultural total factor productivity (TFP). MethodsThe research sample covers 146 countries all over the world during 2010–2019. Two-way fixed effects panel regression models are used to estimate air pollution’s impacts. A random forest analysis is conducted to assess the relative importance of independent variables. ResultsThe results show that, on average, a 1% increase in fine particulate matter (PM2.5) and tropospheric ozone (O3) concentration would cause the agricultural TFP to decline by 0.104% and 0.207%, respectively. Air pollution’s adverse impact widely exists in various countries with different development levels, pollution degrees, and industrial structures. This study also finds that temperature has a moderating effect on the relationship between PM2.5 and agricultural TFP. PM2.5 pollution’s detrimental impact is weaker (stronger) in a warmer (cooler) climate. In addition, the random forest analysis confirms that air pollution is among the most crucial predictors of agricultural productivity. ConclusionsAir pollution is a substantial threat to the improvement of global agricultural TFP. Worldwide actions should be taken to ameliorate air quality, for the sake of agricultural sustainability and global food security.

REGIONAL BIODIVERSITY OF PLANT CROPS IN POLISH AGRICULTURE CHANGES DURING EU MEMBERSHIP

The aim of the research was to assess regional changes in the biodiversity of the plant crops on farms. The subject of the study was the structure of crops and groups of crops consisting of 16 species. The spatial scope of the study is Poland in the system of 16 voivodeships, while the time range is the years 2004-2021. The basic method was the Shannon-Wiener index, which was calculated for individual years and regions. In addition, Pearsons linear correlation coefficient was used to identify the relationship between the level of biodiversity and selected agricultural characteristics; and linear regression to determine the trend. The results were presented using choropleth maps and line charts. It was shown that during the period of membership in the EU the evenness of the analyzed structure was characterized by relatively small changes. The regional analysis made it possible to divide Poland into the north-western-central part, where the structure of crops over the years under study became more and more even (d Voivodeship is the clear leader) and the south-eastern part, where the differences between individual crops/groups of crops became more and more even are getting bigger (in this case, this applies in particular to the Maopolskie and Podkarpackie voivodeships). A positive relationship was found between the diversity of the structure of crops and groups of crops and the level of global agricultural production, which indicates that biodiversity can create high-performance agriculture, which is the food base of the country.

How crop insurance influences agrochemical input use: Evidence from cotton farmers in China

AbstractCrop insurance is critical in risk management in global agricultural production (e.g. by helping stabilise farmers' incomes in the long term and reducing risk‐bearing costs). In this paper, using field survey data on cotton farmers in Xinjiang, China, we examine the influence of crop insurance on farmers' behaviours regarding agrochemical inputs and aim to investigate the synergy between crop insurance and reductions in fertiliser and pesticide usage. We find evidence that crop insurance significantly negatively affects farmers' use of fertilisers and pesticides, as well as significantly positively affects their adoption of green agricultural technologies (GAT) that can replace or complement traditional fertilisers and pesticides. Moreover, our results reveal that compared with small‐scale farmers, crop insurance has a stronger effect on large‐scale farmers' use of agrochemicals. Finally, when the insured amount is higher or the relative deductible is lower, farmers are more likely to reduce fertiliser and pesticide usage and adopt GAT. Overall, this paper scientifically identifies crop insurance can improve farmers' agrochemical input behaviour, by reducing farmers' use of traditional agrochemical inputs and increasing their adoption of GAT, which is of great significance for ensuring the safety of the agricultural ecological environment.

Mitigating Drought Stress Effects in Arid and Semi-Arid Agro-Ecosystems through Bioirrigation Strategies—A Review

Drought stress is most alarming and destructive among the abiotic stresses that increased in intensity in recent years affecting global food and nutritional security. The main resource limiting global agricultural productivity is water. The previous two decades have seen a surprising amount of study reports on genetically modifying plants to increase their ability to withstand drought, but actual progress has lagged behind expectations. Applying bioirrigation techniques in drought-prone areas might be a workable alternative strategy. It does apply to the usage of living things or biological creatures, such as potential microorganisms that can move soil moisture from a zone with enough water to plants that are drought-stressed through the modification of agricultural microclimate using agronomic strategies. Potential microorganisms include Gram+ and Gram− bacterial consortiums, as well as plant-growth-promoting rhizobacteria (PGPR). In addition to PGPR, the utilization of soil macro-fauna in agriculture, such as earthworms, lugworms, termites, etc., can be utilized and explored in the near future towards bioirrigation. Earthworms and other macro-fauna are abundant in soil, digging deep burrows in the sediment and providing aeration to the plants. PGPR evolved with plant roots to enhance plant resilience under biotic and abiotic stresses. Benthic microorganisms, which include bacteria and microalgae, for instance, have a 70–80% higher water-holding capacity. Through research findings, these benthic microorganisms can be successfully identified and used in agriculture, and they may prove to be a cutting-edge method to increase plant-water-use efficiency. Similarly, plant roots of legume plants act as bioindicators under drought-stress conditions. These new developments make a significant contribution to addressing the problems of food security that come with changing climate. This review article offers information on bioirrigation techniques, their potential, estimating techniques, etc. Overall, this article goes into detail about how bioirrigation techniques aid crop plants in overcoming drought stress. Future research should focus on creating the most appropriate and effective microbes, dealing with the problem of delivery systems, and evaluating potential organisms in the field for microbial formulations to improve plant performance under drought stress and significantly lower yield losses in drought-affected areas.

Drying of peaches by a combination of convective and microwave methods

AbstractThe aim of this work is to study a method to extend the storage life of peaches reducing energy and time consumption and ensuring food quality. The conventional method of hot air dying presents many drawbacks, whereas the microwave drying usually leads to overheating and textural damage. Thus, in this work, a combination of convective and microwave methods, more specifically a two‐stage drying process with an initial convective air drying followed by a microwave drying (microwave finishing), was studied for the drying of peaches. Peaches dried at 70°C for various times, 200, 278, 355, 433, and 510 min, were then dried in a microwave oven at powers of 300, 500, and 800 W. Drying rates were examined, whereas dry peaches were characterized for their color, antioxidant capacity, shrinkage, and rehydration ability under optimized conditions for the situations with and without pretreatment with ascorbic acid. Mass transfer of water was described by nine empirical models and by the diffusional approach. The shrinkage of peach tissue during microwave finishing was evaluated and diffusion coefficients were assessed with shrinkage considered. The microwave finishing reduced the drying time by 89 ± 40%, while a smaller shrinkage was observed, with better rehydration characteristics.Practical applicationsPeaches are important commodities in terms of global agricultural production. As peach is a perishable product with a short shelf‐life, the food industry has been forced to find methods, such as drying, that extend its storage life by months. The conventional method of hot air dying presents many disadvantages. Last decades, microwave drying proposed an alternative way to improve the quality of dehydrated products. However, microwave is rarely used alone as a drying method and is usually combined with other drying techniques. The main goal of this work is to study an innovative method to extend the storage life of peaches reducing energy and time consumption and ensuring food quality.

An intrinsically disordered region-containing protein mitigates the drought-growth trade-off to boost yields.

Drought stress poses a serious threat to global agricultural productivity and food security. Plant resistance to drought is typically accompanied by a growth deficit and yield penalty. Herein, we report a previously uncharacterized, dicotyledon-specific gene, Stress and Growth Interconnector (SGI), that promotes growth during drought in the oil crop rapeseed (Brassica napus) and the model plant Arabidopsis (Arabidopsis thaliana). Overexpression of SGI conferred enhanced biomass and yield under water-deficient conditions, whereas corresponding CRISPR SGI mutants exhibited the opposite effects. These attributes were achieved by mediating reactive oxygen species (ROS) homeostasis while maintaining photosynthetic efficiency to increase plant fitness under water-limiting environments. Further spatial-temporal transcriptome profiling revealed dynamic reprogramming of pathways for photosynthesis and stress responses during drought and the subsequent recovery. Mechanistically, SGI represents an intrinsically disordered region-containing protein that interacts with itself, catalase isoforms, dehydrins, and other drought-responsive positive factors, restraining ROS generation. These multifaceted interactions stabilize catalases in response to drought and facilitate their ROS-scavenging activities. Taken altogether, these findings provide insights into currently underexplored mechanisms to circumvent trade-offs between plant growth and stress tolerance that will inform strategies to breed climate-resilient, higher yielding crops for sustainable agriculture.

An Analysis of Food Creation

The freeform of cultivation is also known as “farming”. Scientists, inventors, and others committed to civilizing farming methods and equipment are also said to be occupied in cultivation. 1 in 3 people worldwide are engaged in cultivation, yet it only contributes 3% to global GDP. In 2017, on average, agriculture contributes 4% of national GDPs. Global agricultural production is answerable for between 14 and 28% of inclusive orangery gas emission, making it one of the major contributors to global warming, in large part due to square farming practices, including nitrogen fertilizers and poor land organization. Food processing includes the methods and techniques used to change raw ingredient into food for human utilization. Food processing takes clean, harvest or slaughtered and butchered components and uses them to make marketable food foodstuffs. There are some dissimilar ways in which food can be fashioned.

A novel V263I mutation in the glutamate-gated chloride channel of Plutella xylostella (L.) confers a high level of resistance to abamectin

The frequent and extensive use of insecticides leads to the evolution of insecticide resistance, which has become one of the constraints on global agricultural production. Avermectins are microbial-derived insecticides that target a wide number of insect pests, including the diamondback moth Plutella xylostella, an important global pest of brassicaceous vegetables. However, field populations of P. xylostella have evolved serious resistance to avermectins, including abamectin, thereby threatening the efficiency of these insecticides. In this study, a novel valine to isoleucine mutation (V263I) was identified in the glutamate-gated chloride channel (GluCl) of field P. xylostella populations, which showed different levels of resistance to abamectin. Electrophysiological analysis revealed that the V263I mutation significantly reduced the sensitivity of PxGluCl to abamectin by 6.9-fold. Genome-modified Drosophila melanogaster carrying the V263I mutation exhibited 27.1-fold resistance to abamectin. Then, a knockin strain (V263I-KI) of P. xylostella expressing the homozygous V263I mutation was successfully constructed using the CRISPR/Cas9. The V263I-KI had high resistance to abamectin (106.3-fold), but significantly reduced fecundity. In this study, the function of V263I mutation in PxGluCl was verified for the first time. These findings provide a more comprehensive understanding of abamectin resistance mechanisms and lay the foundation for providing a new molecular detection method for abamectin resistance monitoring.

Characterization of the responses of soil micro-organisms to azoxystrobin and the residue dynamics of azoxystrobin in wheat–corn rotation fields over two years

Azoxystrobin, a high-efficiency and broad-spectrum strobilurin fungicide, has been widely used in global agricultural production. However, the effects of azoxystrobin on soil micro-organisms have scarcely been studied, and relevant experiments are usually conducted under laboratory conditions using active ingredient. Therefore, the effects of azoxystrobin on soil micro-organisms when applied to actual farmland are unknown. We sought to address this knowledge gap in this study, where we studied the effects of azoxystrobin on soil micro-organisms in a wheat–corn rotation field over two years. The results indicate that after two years of azoxystrobin application the activities of soil enzymes were inhibited, and the abundance of functional genes related to the nitrogen and carbon cycle were inhibited, which change the abundance of soil microbial bacteria of genera. As a consequence, the soil nitrogen and carbon cycles were disturbed. In addition, azoxystrobin inhibited the abundance of functional bacteria related to organic pollutant degradation and soil metabolism, where the rate of azoxystrobin degradation diminished over time. Moreover, azoxystrobin significantly inhibited the soil-culturable microbial population. The integrated biomarker response (IBR) indicated that the soil-culturable microbial population can be used as a sensitive indicator of the effect of azoxystrobin on soil micro-organisms. The final levels of azoxystrobin residues measured in grains were less than 0.004 mg/kg, lower than the maximum residue limits in European Union and China. The results of this study provide a basis for suggestions regarding the appropriate use of azoxystrobin in addition to support for elucidating the interaction between biological macromolecules and pollutants.

Farmers’ social networks and regional spillover effects in agricultural climate change mitigation

Climate change poses a severe threat to global agricultural production and rural livelihoods, and since agriculture itself is a significant source of greenhouse gas (GHG) emissions, it can also play an important role in climate change mitigation. This article investigates how farmers’ social networks influence the adoption of on-farm mitigation strategies. More precisely, we use a network autocorrelation model to explore the relationship between a farmer’s own mitigation behavior and the mitigation behavior and knowledge of his fellow farmers. The analysis is based on a regional case study in Switzerland and uses data obtained from personal network interviews combined with survey and census data of 50 farmers. Half of them are members of a local collective action initiative for agricultural climate change mitigation, while the others do not participate in the initiative. We find that, on average, farmers with a larger network adopt more mitigation measures, and furthermore, mitigation adoption is linked with the level of knowledge within farmers’ networks. Indeed, the likelihood that non-members will adopt mitigation measures increases if they are closely associated with members of the collective action, suggesting a local spillover effect. It follows that strengthening knowledge exchange among farmers and supporting local farmers’ initiatives can potentially contribute to the diffusion of agricultural climate change mitigation practices.

The Role of Nanoparticles in Response of Plants to Abiotic Stress at Physiological, Biochemical, and Molecular Levels.

In recent years, the global agricultural system has been unfavorably impacted by adverse environmental changes. These changes in the climate, in turn, have altered the abiotic conditions of plants, affecting plant growth, physiology and production. Abiotic stress in plants is one of the main obstacles to global agricultural production and food security. Therefore, there is a need for the development of novel approaches to overcome these problems and achieve sustainability. Nanotechnology has emerged as one such novel approach to improve crop production, through the utilization of nanoscale products, such as nanofertilizer, nanofungicides, nanoherbicides and nanopesticides. Their ability to cross cellular barriers makes nanoparticles suitable for their application in agriculture. Since they are easily soluble, smaller, and effective for uptake by plants, nanoparticles are widely used as a modern agricultural tool. The implementation of nanoparticles has been found to be effective in improving the qualitative and quantitative aspects of crop production under various biotic and abiotic stress conditions. This review discusses various abiotic stresses to which plants are susceptible and highlights the importance of the application of nanoparticles in combating abiotic stress, in addition to the major physiological, biochemical and molecular-induced changes that can help plants tolerate stress conditions. It also addresses the potential environmental and health impacts as a result of the extensive use of nanoparticles.

Global Warming and Atmospheric Carbon: Is Carbon Sequestration a Myth or Reality?

Abstract Biotic and abiotic carbon sequestration currently seems to be the only viable tools at the disposal of mankind for mitigating greenhouse gas (GHG) emissions and thus a remedy for tackling global warming challenges. This study accesses the global carbon capture and storage (CCS) programme: the level of success in its implementation and its impact using panel data from eight countries, the majority of which have begun one or more operational CCS facilities. To achieve this objective, fifteen years period time series data was sourced for the eight selected countries based on data availability, namely the United States (US), the United Kingdom (UK), Canada, China, Australia, Norway, South Africa, and Nigeria; ranging from 1990 to 2015. The panel ARDL results show that the explanatory variables, global industrial production (LIP), Electricity production (LEP), Agricultural production (LAP), transportation (LTR), and energy supply (LES) have a long-run relationship with the dependent variable (LGHG emissions). While the short-run results show that none of the variables have a significant contribution to LGHG emissions. In the long-run results, LIP and LTR significantly contribute to the reduction of LGHG courtesy of the CCS programme while LEP, LAP, and LES contribute to a rise in the LGHG emission. The cross-sectional results show that all the variables have significant impacts on LGHG in all the sampled countries except Australia. Suggesting that, the CCS programme is viable for mitigating global warming and climate change and therefore should be considered by the various countries of the world.

Current and Future of Plant Breeding Strategies to Cope with Climate Change: A Review

Climate change poses significant challenges to global food security and agricultural productivity, necessitating the development of climate-resilient crop varieties. This review explores current and future plant breeding strategies aimed at coping with climate change. Various approaches, including traditional and cutting-edge techniques, wild relatives, and climate-informed strategies, have been employed to develop climate-resilient crop varieties. Traits such as heat and drought tolerance, early flowering, and maturation have been bred into varieties to mitigate the impact of changing climate conditions. Genetic mapping has identified genomic regions and candidate genes associated with stress tolerance, enabling the incorporation of stress tolerance alleles into high-yielding genetic backgrounds. Furthermore, advanced techniques such as gene editing, genomic selection, high-throughput phenotyping, and omics technologies have revolutionized plant breeding for climate adaptation, offering precise and efficient means of introducing desired traits. The integration of these cutting-edge techniques holds immense potential for developing climate-resilient crop varieties. However, challenges related to regulatory frameworks, intellectual property rights, and public acceptance must be addressed for responsible and sustainable adoption. A holistic, multidisciplinary approach that links breeding and climate science is crucial to strengthen adaptation and ensure food security in the face of accelerated climate change. Continued advancements in gene editing, genomic selection, high-throughput phenotyping, and omics technologies will further enhance breeding efficiency and precision. The future of plant breeding lies in the development of "climate-smart" varieties and cultivation systems resilient to future conditions with a focus on addressing farmer needs and global food security.

Rapid expansion of irrigated agriculture in the Senegal River Valley following the 2008 food price crisis

The expansion of irrigated croplands throughout the 20th century boosted global agricultural productivity, yet limited improvement occurred in sub-Saharan Africa where many irrigation schemes and policies under-delivered. We mapped the distribution of croplands under active irrigation between 1986 and 2020 for one of Africa’s largest and most important transboundary river basins—the Senegal River Valley; using Landsat imagery with a random forest classifier and hidden Markov Model. We document two distinct epochs of irrigation development. Initially, a period of stagnation where less than 900 ha yr−1 was added, lasting until 2008. Followed by a boom phase of rapidly expanding intensively irrigated production with ∼9,000 ha yr−1 added for the last 12 years. These epochs overlap with national agricultural policy frameworks: the 1980s laissez-faire policies limited state involvement in agriculture and promoted Asian imports; followed by a more interventionist period focused on promoting domestic production following the food price crisis of 2008.

Modeling and predicting the effects of climate change on cotton-suitable habitats in the Central Asian arid zone

Climate change has significantly affected global agricultural production, particularly in arid zones of Central Asia. Thus, we analyzed changes in the habitat suitability of cotton in Central Asia under various shared socioeconomic pathway (SSP) scenarios during 2021–2060. The results showed that the average minimum temperature in April, precipitation seasonality, and distance to rivers were the main environmental factors influencing the suitable distribution of cotton. Suitable habitats expanded toward the north and east, reaching a maximum net increase of 10.85 × 10 4 km 2 under the SSP5–8.5 scenario during 2041–2060, while habitats in the southwestern area showed a contracting trend. The maximum decreased and increased habitats were concentrated at approximately 68°E and 87°E, respectively. In addition, their latitudinal distributions were concentrated at approximately 40°N and 44°N. The longitudinal and latitudinal dividing lines of increased and decreased habitats were 69°E and 41°N, respectively. Habitats at the same altitude showed an increasing trend, excluding the elevation range of 125–325 m. Habitat shifts could exacerbate spatial conflicts with forest/grassland and natural reserves. The maximum spatial overlap between them was observed under the SSP5–8.5 scenario during 2041–2060. These findings could provide scientific evidence for rational cotton cultivation planning in global arid zones. • Cotton-suitable habitats expanded toward the north and east but not the southwest. • Longitudinal/latitudinal dividing lines of cotton loss/gain areas were 69°E/41°N. • Cotton habitats at the same altitude (excluding 125–135 m) showed a rising trend. • Cotton habitat shifts may worsen conflicts with forest/grassland/natural reserves.

Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series

With the vast popularity of the deep learning models in the engineering and mathematical fields, Artificial Neural Networks (ANN) have recently attracted significant research applications in agriculture, economics, informatics and finance. In this paper, we use a deep learning method to capture and predict the unknown complex nonlinear characteristics of agricultural output based on autoregressive artificial neural network, using Nigeria as a case study. Using the proposed model, shocks in agricultural output is analyzed and modeled using data obtained for a period of forty years (1980-2019), and compared with analyses obtained from the autoregressive integrated moving average model (ARIMA). This result is significant because it justifies the superiority of the hybrid ANN model over the traditional Box-Jenkins methodology for forecasting non-stationary time series. The empirical results show that the proposed autoregressive ANN model achieves an improved forecasting accuracy over the traditional Box-Jenkins ARIMA method. It is further proposed that various types of artificial neural networks would be useful in forecasting and solving relevant tasks and problems widely defined in global agricultural production.

Study of Integrated Crop-targeted Production Efficient Fertilizer Uptake Response

The targeted pattern of multi-crops in investigation, control and treatment blocks emphasize on different crops or integrated approach to farming system in same field at temporal shift in cropping season. Studies and researches through programmes on “Integrated Farming System” paves and does incursion towards re-engineering process in plans and programme structure under farming systems mode. This gamut of framework led to neo institutional birth, through rigorous investigations of past models, approaches, plans, systems by analysis of productivity, viability and constraints prevailing. Designs of resource efficient, efficacious, economic farming system models and proto-modules for different farming scenario have been developed, in temporal dimensional shift of Kharif, Rabi and Zaid. Stoichiometric analysis-based use of balanced uptake fertilizers is done to meet the targeted productivity. Regression analysis and optimization models, equations, quasi-newton method and Jacobi method, amongst others , and conditions and constraints further give boost towards targeted yield productivity of integrated crops in contingency, feasibility and brisk growth , developmental choice models for thriving and succeeding in agriculture scenario through rolling a successful agricultural Integrated Farming System model and approach, with systems intelligence , thinking and technology at core of heart driving simplicity, spirituality and sustainability of global flat world agricultural productivity, in sync and harmony with mother earth.

Review: Renewable Energy in an Increasingly Uncertain Future

A number of technical solutions have been proposed for tackling global climate change. However, global climate change is not the only serious global environmental challenge we face demanding an urgent response, even though atmospheric CO2 ppm have risen from 354 in 1990 to 416 in 2020. The rise of multiple global environmental challenges makes the search for solutions more difficult, because all technological solutions give rise to some unwanted environmental effects. Further, not only must these various problems be solved in the same short time frame, but they will need to be tackled in a time of rising international tensions, and steady global population increase. This review looks particularly at how all these environmental problems impact the future prospects for renewable energy (RE), given that RE growth must not exacerbate the other equally urgent problems, and must make a major difference in a decade or so. The key finding is that, while the world must shift to RE in the longer run, in the short term what is more important is to improve Earth’s ecological sustainability by the most effective means possible. It is shown that reducing both the global transport task and agricultural production (while still providing an adequate diet for all) can be far more effective than converting the energy used in these sectors to RE.

Climate-Smart Agriculture Amidst Climate Change to Enhance Agricultural Production: A Bibliometric Analysis

Climate change significantly impacts global agricultural productivity. Therefore, a more dynamic farming system is needed to enable farmers to better adapt to climate change while contributing to efforts to produce enough food to feed the growing world population. In the context of climate change, this study analyzed the empirical scientific literature on the link between climate-smart agriculture and farm productivity. To evaluate the relevant articles, the authors used the search term “climate-smart agriculture amidst climate change to enhance agricultural production (CSA-CCAP)” to find studies published between 2009 and March 2022 using innovative bibliometric techniques. One hundred and sixteen published papers in BibTeX format were downloaded for further analysis. The most successful selected CSA approaches in Africa, such as in the Congo Basin forest, including sustainable land management practices, water-efficient maize hybrids, and others, aim to counteract climate change with signs of 200 percent output gains. The findings showed an annual growth rate of about 19%, demonstrating that research on CSA-CCAP expanded over time during the study period. Nonetheless, the research output on CSA-CCAP varied, with 2021 accounting for 30%, followed by 2020 with 16% as of March 2022. The study concluded that boosting agricultural productivity in the face of climate change may be accomplished through CSA to end hunger, eradicate poverty, and improve people’s well-being.