Articles

The integration of LiDAR and Artificial Intelligence (AI) has revolutionized feature detection in urban environments. LiDAR systems, which utilize pulsed laser emissions and reflection measurements, produce detailed 3D maps of urban landscapes. When combined with AI, this data enables accurate identification of urban features such as buildings, green spaces, and infrastructure. This synergy is crucial for enhancing urban development, environmental monitoring, and advancing smart city governance. LiDAR, known for its high-resolution 3D data capture capabilities, paired with AI, particularly deep learning algorithms, facilitates advanced analysis and interpretation of urban areas. This combination supports precise mapping, real-time monitoring, and predictive modeling of urban growth and infrastructure. For instance, AI can process LiDAR data to identify patterns and anomalies, aiding in traffic management, environmental oversight, and infrastructure maintenance. These advancements not only improve urban living conditions but also contribute to sustainable development by optimizing resource use and reducing environmental impacts. Furthermore, AI-enhanced LiDAR is pivotal in advancing autonomous navigation and sophisticated spatial analysis, marking a significant step forward in urban management and evaluation. The reviewed paper highlights the geometric properties of LiDAR data, derived from spatial point positioning, and underscores the effectiveness of machine learning algorithms in object extraction from point clouds. The study also covers concepts related to LiDAR imaging, feature selection methods, and the identification of outliers in LiDAR point clouds. Findings demonstrate that AI algorithms, especially deep learning models, excel in analyzing high-resolution 3D LiDAR data for accurate urban feature identification and classification. These models leverage extensive datasets to detect patterns and anomalies, improving the detection of buildings, roads, vegetation, and other elements. Automating feature extraction with AI minimizes the need for manual analysis, thereby enhancing urban planning and management efficiency. Additionally, AI methods continually improve with more data, leading to increasingly precise feature detection. The results indicate that the pulse emitted by continuous wave LiDAR sensors changes when encountering obstacles, causing discrepancies in measured physical parameters.

The purpose of this study was to examine the effectiveness of environmental solid waste management policies and practices for sustainable development in Komenda-Edina-Eguafo-Abrem Municipality in the Central Region of Ghana. The case study research design was adopted for the study. Using the simple random sampling procedure, 425 respondents comprising of 380 residents and 45 Zoomlion staff were involved in the study. The data were analysed through the computation of frequencies, percentages, as well as means and standard deviations. On the waste management strategic action plan for sustainable development, it can be concluded that, regular monitoring system should be in place to ensure that households adhere to the solid waste management practices; and education/training programmes on solid waste management should be provided for employees so that they can appreciate the need for sustainable development practices. It can also be concluded that, most of the environmental management policies and practices of solid waste management were not effective in the KEEA Municipality because the residents were uncertain about the effectiveness of the environmental policies that have been put in place. Perhaps, the Assembly does not conduct regular monitoring to find out solid waste management practices of the various households. It could be that the Assembly does not enforce bye-laws on sanitation on appropriate solid waste management practices. It is recommended that, the Environmental Protection Agency (EPA), and the Assembly should conduct regular monitoring system in order to ensure that residents adhere to the solid waste management practices. Again, the Assembly should make available a reliable data on solid waste generation for households in the Municipality. It is also recommended that, the Environmental Protection Agency (EPA) and the Assembly should ensure proper enforcement of the bye-laws on sanitation on appropriate solid waste management practices. Residents of the KEEA Municipality should be encouraged by the Environmental Protection Agency (EPA) to consider reuse and recycling as important activities.

There is an ongoing debate regarding how to feed Sub-Saharan Africa's fast rising population in the long run, as well as the implications for food security. To maintain food security, various strategies have been recommended, including a focus on the significance of diversifying and improving people's diets. Proposals have been tabled elsewhere with a primary focus on enhancing agricultural inputs and technology adoption in order to increase agricultural production and productivity, hence strengthening food security. The current opinion piece attempts to contribute to this debate by examining smallholder agriculture and its role to African food security. This discussion proposes a future paradigm shift toward a gendered climate-smart smallholder agriculture and food production and security conceptual framework based on the promotion and development of smallholder agriculture and food production and security. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For Africa, today’s predicament is to ensure food security for the anticipated rapid population expansion, while on the other hand handling an overall net adverse effect of worldwide global climate change, and increased socio-economic ills associated with gender inequality in smallholder agriculture and ensuring long-term agriculture sustainable development. The failure to address gender inequality in smallholder agriculture and food production and pontificate of global climate change effect has thrown Sub-Saharan Africa into a state of perpetual food scarcity and insecurity because of low agricultural productivity and food supply, and by force of circumstances exposing the agricultural communities and its people to extreme poverty and nutrition and food insecurity. Therefore, it's predicated that the micro-livestock-centered approach can remodel smallholder agrarian households and communities toward a gender-inclusive global climate change adaptive smallholder agriculture to strengthen production, supply, and food security in Sub-Saharan Africa. For this purpose, this discussion proposes a future paradigm shift towards a gendered climate-smart smallholder agriculture and food production and security conceptual framework hinged on the promotion and development of the micro-livestock and/or unconventional animal species sub-sector to strengthen food security on the continent. Overall, the discussion emphasizes the importance of taking immediate action to alleviate the negative effects of climate change and address gender inequality through promotion of micro livestock to assist in the development of long-term adaptation measures to maintain smallholder agricultural productivity.

The aim of this article is to examine the impacts of Coronavirus Disease -19 (Covid-19) vaccines on economic condition and sustainable development goals. In other words, we are going to study the economic condition during Covid19. We have studied the economic costs of pandemic, benefits in terms of gross domestic product (GDP), public finances and employment, investment on vaccines around the world, progress and totally the economic impacts of vaccines and the impacts of emerging markets (EM) on achieving sustainable development goals (SDGs), including no poverty, good health and well-being, zero hunger, reduced inequality etc. The importance of emerging economies in reducing the harmful effects of the Corona has also been noted. We have tried to do experimental results and forecast daily new death cases from Feb-2020 to Aug-2021 in Iran using Artificial Neural Network (ANN) and Beetle Antennae Search (BAS) algorithm as a case study with econometric models and regression analysis. The findings show that Covid19 has had devastating economic and health effects on the world, and the vaccine can be very helpful in eliminating these effects specially in long-term. We observed that there is inequality in the distribution of Corona vaccines in rich countries compared to poor which EM can decrease the gap between them. The results show that both models (i.e., Artificial intelligence (AI) and econometric models) almost have the same results but AI optimization models can robust the model and prediction. The main contribution of this article is that we have surveyed the impacts of vaccination from socio-economic viewpoint not just report some facts and truth. We have surveyed the impacts of vaccines on sustainable development goals and the role of EM in achieving SDGs. In addition to using the theoretical framework, we have also used quantitative and empirical results that have rarely been seen in other articles.

This study took place in the Far North region of Cameroon. The general objective was to assess the floristic diversity of the undergrowth of Agrosystems in <i>Azadirachta</i><i> </i><i>indica</i>. The data were collected in 100 m long by 20 m wide transects surveyed in plantations of different ages. In total, 5 transects were carried out, ie a total area of 1 ha per site. The sampling bands were established using the compass, decameter, GPS and wires. The experimental set-up used was a 5-repetition split plot. A total of 7689 individuals divided into 9 families, 13 genera and 16 species have been identified. <i>Guiera</i><i> </i><i>senegalensis</i> and <i>Piliostigma</i><i> </i><i>thonningii</i> are the most common in terms of relative abundance. The analysis of the Family Importance Index (VIF) shows overall that the Combretaceae, and Mimosaceae are the most important in ecological terms. While those of the species show that <i>Guiera</i><i> </i><i>senegalensis</i>, <i>Combretum</i><i> </i><i>micranthum</i> and <i>Acacia</i><i> </i><i>nilotica</i> finally for the genera, it is Acacia, Guiera and Combretum which contains the most important ecological indices. The overall density of species within the plots varies between 129 and 105 ind / ha. The basal area varies from 2.02 to 3.88 m² / ha. The Importance Value Index (IVI) is of the order of 300 in the different plots. The floristic diversity of the undergrowth of Agrosystems (average ISH> 2) shows homogeneity and an even distribution between the different plots. Plots with similarity indices of less than 50% do not meet floristic affinity while similarity indices are high in plots with floristic affinities greater than or equal to 50%. The diameter structure showed a predominance of young individuals. This information drawn from the conclusion of the present study shows that they constitute an important argumentation of the advantages so that the services of agricultural development should be interested in the conservation and valuation of such an agroforestry system for the protection of the environment against the climate change mitigation and sustainable development of local communities.

Ever since the idea of sustainable development was proposed, how to achieve it has always been the focus of researchers and policymakers. At the same time, in the letters of sustainable development, two approaches of weak sustainability and strong sustainability have been mentioned; Two approaches with different assumptions suggest different policies and will have different consequences. On the other hand, with the increase of environmental concerns in recent decades, the concept of natural capital and physical, human, and social capital has been added to the common literature of economics. Recently, with the collection of data related to the natural capital of nations by the World Bank, the possibility of statistical studies in this field has been provided. In the form of several regression models and at the international level, the present study will analyze the most fundamental difference between the two approaches of weak sustainability and strong sustainability, i.e., the possibility or impossibility of replacing physical capital instead of natural capital. The study results show that natural capital has a direct, positive, and independent role in explaining sustainable development indicators. Even the addition of physical, human, and social capital indicators does not threaten the significant coefficient of natural capital. Therefore, it can be concluded that under the assumption of a strong sustainability model, other types of capital can not replace natural capital.

Energy from the sun is an ideal new energy source for power systems, in a context of sustainable development, enthusiasm for concentrated solar power technologies is developing. Accurate estimation of clear-sky radiation is needed in many engineering, architectural and agricultural applications in order to integrate solar energy into the power grid. An evaluation of the irradiance input to solar power systems is required in many applications. Clear-sky models represent the maximum input of solar power systems, which is especially useful for forecasting solar irradiance and numerical weather prediction. This work examined the application of Yang model to estimate the monthly mean clear sky normal irradiance for northern Nigeria using meteorological variables like temperature, relative humidity and solar radiation considering the shading effect of the complex topography of terrain in Norther region of Nigeria, also to know the variation of beam radiation and diffuse radiation among the selected stations and also to ascertain the significance of aerosols, water vapor, and other transmittances in the estimation of the beam and diffuse radiation in the northern atmosphere. The modeling was computed using monthly mean maximum temperature and relative humidity gotten from the Nigeria Meteorological Agency (NIMET) for the period of fourteen years (1983-1997. The beam and diffuse irradiance for the northern atmosphere is compared by estimating their mean and standard deviation. Also, detailed information about the trend of radiation in each of the selected states in the northern hemisphere of Nigeria was obtained using a graphical method of data analysis. Result reveals that the value of beam and diffused radiation getting to the earth's surface depends on the aerosols, water vapour, atmospheric Ozone, gas transmittance and Rayleigh scattering. From the result above, the maximum beam radiation and the minimum diffused radiation occur during the raining season and the minimum beam radiation and maximum diffuse radiation occur during the dry season. This is due to the variations of these atmospheric constituents (aerosols, water vapour, atmospheric Ozone, gas transmittance and Rayleigh scattering) in the northern atmosphere on these seasons.

The concept of the green economy is one of the global strategies to face contemporary societies' economic and environmental crises. Methodologically, the conceptualization, objectives, implementation, and criticism of various sectors of society to this new economic paradigm are addressed. It was found that authors and civil organizations have great expectations in the face of the challenges and challenges of this global strategy that has within its objectives sustainability, the eradication of poverty, and the inclusion of vulnerable social sectors. It is concluded that the green economy can contribute to maintaining a healthy environment and the proper use of ecosystem services, both for the present generation and for future generations.

The economic and social effects that the COVID-19 pandemic and the associated measures to address it are having in Latin America may lead to serious long-term consequences that would affect the achievement of the Sustainable Development Goals. In this article, the collaboration of environmental economists from eight countries in the region discusses the possible effects of the pandemic on air pollution, deforestation, and other relevant environmental aspects related to the SDGs. In addition to presenting an account of some of the initial effects of the health crisis on the environment, the paper discusses potential effects in terms of environmental regulations and public policy interventions. Finally, the paper presents an agenda on new research topics that arise due to the pandemic or have gained greater importance due to it, including the impacts on the achievement of the Sustainable Development Goals. Briefly, this paper is a novel view of the sustainable development in Latin America and the Covid-19 impacts on this process.