Recent Publications
Carbon Footprint Analysis: Promoting Sustainable Development
An overview of the carbon footprint analysis indicates a measure of sustainability in various countries. Their carbon footprint values, carbon emission in MtCO2, carbon per capita emissions used to identify their sustainability patterns by comparatively observing the world’s top rank countries, and their root causes. The greenhouse gas reduction has become a key concept in …
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Nanofertilizer for Precision and Sustainable Agriculture
Nanotechnology has shown promising aims to contribute to sustainable agriculture. This article explores recent advances in nanotechnology applications in sustainable agriculture, including crop production and defense, focusing on nanofertilizers. Slowrelease fertilizers are believed to have the potential to address most of the conventional fertilization challenges. Nanofertilizers appear as a promising alternative to agricultural chemical fertilizers. …
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Nanofertilizer Use for Modern Agriculture
Performing all the farming practices, sustainably is the key to achieve agricultural sustainability. It is necessary for conservation and enhancement of the natural resources such as soil, water, plant and animal diversity, vegetation cover, renewable energy sources, climate, and ecosystem services, which are considered the fundamentals for healthy, long-term functioning of agriculture. However, it is …
Nanofertilizers: A Novel Approach Towards a Sustainable Agriculture
Application of nanotechnology and nanoscience in agriculture, improving the use efficiency of essential fertilizer nutrients to crops and enhancing crop security for agriculture’s long-term sustainability. These novel fertilizers can help in obtaining higher crop yields per unit landmass. Hence, product quality can also be improved with enhanced nutrient contents and shelf life. On the other …
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A Feasibility study for Deep Learning Based Automated Brain Tumor Segmentation using Magnetic Resonance Images
Deep learning algorithms have accounted for the rapid acceleration of artificial intelligence research in medical image analysis, interpretation, and segmentation with many potential applications across various sub-disciplines in medicine. However, only a limited number of research investigating these application scenarios is deployed into the clinical sector to evaluate the real requirement and the practical challenges …
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