Digital Combatant: Harassing Cutting-Edge Technologies Toward Combat Climate Variability Obstacles in Diverse Domains of Real-Life

Abstract

Many fields face grave threats because of climate change. Consider agriculture, where variability in the climate has an impact on the soil, crop productivity, and accessibility to water. Moreover, this phenomenon threatens livestock due to the effects on livestock and milk production, biodiversity, livestock illnesses, water availability, feed crop and forage quality, and breeding of animals. Accordingly, the variability of climate threatens the sustainability and resilience of resources. Hence, several adaptation strategies are embraced through global conferences. As well as minimizing greenhouse gas emissions which are a direct result of the agricultural sectors' contributions to greenhouse gases by altering land-use management strategies. Concurrently, livestock farming is responsible for 14.5% of the world's greenhouse gas emissions, which exacerbates climate change. Likewise, vehicle exhaust and pollutants. On the other hand, new and cutting-edge technologies are leveraging to mitigate and adapt the climate change through various studies. For instance, Unmanned Aerial Vehicles (UAVs) and drones can play a significant role in combating climate change. This technology offers a cost-effective and efficient way to monitor and track the impacts of climate change, particularly in relation to forest degradation and deforestation. Moreover, drones are also being used in the process of reforestation. Finally, the objective of this study represents in showcases the role of UAVs in climate variability to combat the climate’s obstacles. Hence, the evaluating of UAVs implications in climate change is crucial process. Finally, MCDM techniques are main contributors in this process where stepwise weight assessment ratio analysis (SWARA) and the multi-objective optimization on the basis of ratio analysis (MOORA) are used as techniques of MCDM. These techniques have been bolstered in an ambiguity environment by neutrosophic theory.