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Öğe Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation(Nature Portfolio, 2022) Waleed, Mirza; Mubeen, Muhammad; Ahmad, Ashfaq; Habib-ur-Rahman, Muhammad; Amin, Asad; Farid, Hafiz Umar; Hussain, SajjadTimely and accurate estimation of rice-growing areas and forecasting of production can provide crucial information for governments, planners, and decision-makers in formulating policies. While there exists studies focusing on paddy rice mapping, only few have compared multi-scale datasets performance in rice classification. Furthermore, rice mapping of large geographical areas with sufficient accuracy for planning purposes has been a challenge in Pakistan, but recent advancements in Google Earth Engine make it possible to analyze spatial and temporal variations within these areas. The study was carried out over southern Punjab (Pakistan)-a region with 380,400 hectares devoted to rice production in year 2020. Previous studies support the individual capabilities of Sentinel-2, Landsat-8, and Moderate Resolution Imaging Spectroradiometer (MODIS) for paddy rice classification. However, to our knowledge, no study has compared the efficiencies of these three datasets in rice crop classification. Thus, this study primarily focuses on comparing these satellites' data by estimating their potential in rice crop classification using accuracy assessment methods and area estimation. The overall accuracies were found to be 96% for Sentinel-2, 91.7% for Landsat-8, and 82.6% for MODIS. The F1-Scores for derived rice class were 83.8%, 75.5%, and 65.5% for Sentinel-2, Landsat-8, and MODIS, respectively. The rice estimated area corresponded relatively well with the crop statistics report provided by the Department of Agriculture, Punjab, with a mean percentage difference of less than 20% for Sentinel-2 and MODIS and 33% for Landsat-8. The outcomes of this study highlight three points; (a) Rice mapping accuracy improves with increase in spatial resolution, (b) Sentinel-2 efficiently differentiated individual farm level paddy fields while Landsat-8 was not able to do so, and lastly (c) Increase in rice cultivated area was observed using satellite images compared to the government provided statistics.Öğe Managing Greenhouse Gas Emission(wiley, 2022) Hussain, Sajjad; Mubeen, Muhammad; Sultana, Syeda Refat; Ahmad, Ashfaq; Fahad, Shah; Nasim, Wajid; Ahmad, ShakeelRice (Oryza sativa) production systems have faced the two opposing challenges all over the world: the need to increase the production to nourish the world’s increasing population and reducing the emissions of greenhouse gases (GHG). Nitrous oxide (N2O), carbon dioxide (CO2), methane (CH4), and chlorofluorocarbons (CFCs) are the most significant GHGs because of their global warming mitigation (GWM) and radiative effects on rice. Rice intensive farming system has been producing extreme pressure on fields of rice for producing more rice for the increasing global population, thus declining rice ecosystem balance and soil fertility situation by fluxes of more N2O, CH4, and CO2 to the environment. Many farmers used fertilizer combination and commercial hormone to rice growing. Nowadays, the integrated management system like modifying tillage practices, improving nitrogen fertilization and irrigation patterns, increasing yield potential, and managing organic and fertilizer inputs are set up based on plant physiological needs. These strategies can also increase the yield of rice as well as have benefits on GWM. Satellite-based estimates provide unique opportunities to improve bottom-up and top-down estimate of GHG emissions, and also provide important observations to support the understanding as well as monitoring of environment and earth’s surface changes due to human activities. The integrated management system, an eco-farming method, gives the best solution than transgenic plants (in which several problems including field tests and stability of the transgenic lines are inevitable). Adapting drainage systems could be a good option for reducing CH4 in rice production system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.Öğe Mitigation of Climate Change Through Carbon Farming(Springer International Publishing, 2023) Tariq, Samra; Mubeen, Muhammad; Hammad, Hafiz Mohkum; Jatoi, Wajid Nasim; Hussain, Sajjad; Farid, Hafiz Umar; Ali, MazharThere is still a lot of disagreement concerning the nature, substance, and, most critically, effect of the policy initiatives that are needed to decrease greenhouse gas emissions. Carbon farming is a viable technique for producing food and other products in a more sustainable manner. According to the Food and Agriculture Organization (FAO), livestock emissions account for 24% of world greenhouse gas (GHG) productions, with entire worldwide livestock emissions of 7.1 gigatons of CO2 equivalent per year accounting for 14.5% of overall human-caused GHG emissions. This chapter explains the present condition of climate change mitigation in developing nations using carbon farming and the ways these countries can adopt for increasing carbon sequestration. This chapter also discusses carbon farming, a climate-smart agriculture technique that uses plants to trap and store atmospheric carbon dioxide in soil, along with carbon sequestration. Forestry carbon sequestration, specifically by prevented deforestation, is a potential, cost-effective alternative for mitigating changing climate. We need to improve our biophysical knowledge about carbon farming co-benefits, predict the economic impacts of employing multiple strategies and policy incentives, and develop the associated integrated models to estimate the full costs and benefits of agricultural GHG mitigation to farmers and the rest of society. This can be achieved through joining near-real-time field measurements and offline, modeling, computing networks, weather data, and satellite imagery. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.Öğe Modeling of micropolar hybrid nanofluids flow across porous medium between permeable parallel plates with nonlinear thermal radiative in MHD(Taylor & Francis Inc, 2024) Yahya, Asmat Ullah; Farman, Muhammad; Abdal, Sohaib; Akgul, Ali; Salamat, Nadeem; Hussain, SajjadThe study pertains on the dynamics and thermal distribution of magnetohydrodynamics (MHD) micropolar hybrid nanofluids flowing between two parallel plates channel. It explores the enhancement of heat transport processes by blending the base fluid with nanoparticles at varying concentrations. A system of nonlinear partial differential equations is developed as governing equations for momenta and heat energy. To facilitate numerical solutions for fluid temperature and velocities, this formulation is translated into ordinary differential form using the necessary similarity transformation. By utilizing Matlab code for the Runge-Kutta method and shooting approach, we evaluate the results. It has been observed that an increase in the concentration of hybrid nanoparticles enhance the heat transmission. The salient findings of this study reveal alteration in the velocity profiles for both nanofluid (SWCNT/water) and hybrid nanofluids (SWCNT + MWCNT/water) flow. Notably, with a substantial input of magnetic field strength (M) and porosity parameters (P0), the velocity is increased near the walls but it decelerates toward the center of channel. Additionally, the temperature rises for hybrid nanofluids. Furthermore, an increase in the theta w temperature ratio parameter leads to an enhanced thermal distribution.Öğe Modern Breeding Approaches for Climate Change(Springer International Publishing, 2023) Afzal, Sadia; Mubeen, Muhammad; Hussain, Sajjad; Ali, Mazhar; Rashad Javeed, Hafiz Muhammad; Al-Ashkar, Ibrahim; Soufan, WalidClimate-smart agriculture is the emerging and sustainable option to mitigate the adverse effects of climate change (on crop adaptability) before it significantly influences global crop production. Crop development through modern breeding techniques, effective agronomic practices and exploitation of natural variability in neglected and popular crops are all good ways to meet future food demands. However, the rapidly changing environment requires technological interventions to improve crop climate resilience. Technological advances such as genome-edited transgenic plants, high-throughput phenotyping technologies combined with next-generation sequencing techniques, big data analytics and advances in modern breeding techniques help modern agriculture progress towards robotics or digital conversion to face future environmental adversaries. For example, speed breeding in combination with genomic and phenomic methods can lead to quicker identification of genetic factors and, as a result, speed up crop development programmes. Furthermore, combining next-generation interdisciplinary breeding platforms might open up new opportunities for developing climate-ready crops. Several integrated modern breeding platforms were created in the last few decades and are now employed worldwide. Africa and Asia have adopted these most frequently used crop improvement platforms with advanced techniques like multitrait association studies using genome-wide association studies (GWASs). These have permitted precise exploration of the genetic make-up of agricultural attributes in most crops. This chapter explores various ways to increase crop output by developing climate-resilient superior genotypes. Further, we discussed how combinatorial advanced breeding technologies and biotechnological approaches would be used for managing climate change’s consequences to promote crops with climate resilience. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.Öğe Nonlinear magnetohydrodynamic flow of nanofluids across a porous matrix over an extending sheet with mass transpiration and bioconvection(Wiley, 2021) Zahid, Muhammad; Asjad, Muhammad, I; Hussain, Sajjad; Akgul, AliThe consequences of the nonlinear magnetic field and radiative thermal energy are evaluated for bioconvective viscous flow across a porous matrix over a nonlinearly stretching sheet. The rationale of the study is to attain enhanced thermal transportation. The dilute dispersion of nanoentities and bioconvection of swimming microorganisms are taken into consideration. The coupled partial differential system of field equations is transformed into ordinary differential form. Finally, the numeric solution is obtained by utilizing the fourth-order Runge-Kutta method shooting technique, and results are validated through an acceptable accord with existing studies. The variation of influential parameters such as combined magnetic parameter, mass transpiration parameter, thermophoresis, Brownian motion, bioconvection Lewis numbers made notable impacts on fluid velocity, temperature, concentration of nanoentities, and distribution of microorganisms.Öğe Thermal radiative mixed convection flow of MHD Maxwell nanofluid: Implementation of buongiorno's model(Elsevier, 2022) Safdar, Rabia; Jawad, Muhammad; Hussain, Sajjad; Imran, Muhammad; Akgul, Ali; Jamshed, WasimA mathematical model for steady MHD Maxwell nanofluid flow over the porous stretching sheet with gyrotactic microorganisms is discussed theoretically and numerically. We use the theory of the microorganism to stabilize the suspended nanoparticles, due to bio convection, induced by the impacts of buoyancy forces. Similarity transformations used to transform the mathematical PDEs of non-linear nature i.e., continuity equation, velocity, concentration, density, and energy of motile micro-organisms into the system of non-linear ordinary differential equations. Mathematica 11used to acquire the solutions for the mathematical model. Boundary conditions together with non-zero value of mass flux is imposed on the given problem. Valuations are performed graphically for several protuberant parameters like Hartman number, bio convection, Peclet number, Deborah number, thermophoresis diffusion, Rayleigh number, Brownian motion, and mixed convection parameters. These different parameters are employed on non-dimension velocity function, temperature function, concentration function and density of the motile microorganisms and studied numerically in detail. It is observed that by increasing the value of bioconvection parameter as well as Peclet number, the microorganism field diminishes. Graphical diagrams are showing the consistency of the latest results.Öğe World nations priorities on climate change and food security(Springer International Publishing, 2021) Ul Din, Muhammad Sami; Mubeen, Muhammad; Hussain, Sajjad; Ahmad, Ashfaq; Hussain, Nazim; Ali, Muhammad Anjum; Sabagh, Ayman ElThe present food system (including production, transportation, processing, packaging, storing, retail, and consumption) is a source of nutrition for the great majority of the world population in addition to supporting the livelihoods of about 200 million people. Food supply per capita has increased by more than 30% since 1961, this is accompanied by more use of nitrogen fertilizers (showing an increase of about 800%) and water resources for irrigation (with an increase of more than 100%). Global food security will continue to be an international concern for the coming 50 years and even beyond. Crop yield has fallen in many areas recently due to decreasing investments in infrastructure and research, as well as due to growing water scarcity. Climate change is a global concern irrespective of borders. The poor nations are highly vulnerable to climate change and are at high risk. Food security is directly dependant on the food chain and the associated food system process. All dimensions of food security could be affected by climate change in complex ways. Approximately, 15 countries are highly vulnerable to food insecurity due to climate change, from Asia and Africa. Most of these nations are not able to cope with or counter the impact of climate change on an urgent basis. However, some countries have developed their national strategies and adaptation plans to alleviate the negative impacts of climate change. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.