The inefficiency of conventional fertilizers poses a major challenge to sustainable agriculture, leading to significant nutrient losses and environmental pollution. Nanotechnology has emerged as a promising solution to enhance nutrient delivery and improve agricultural productivity. This article examines the role of nanomaterials in developing advanced fertilizer systems with controlled and targeted nutrient release. Various nanomaterials, including nanoparticles, nano-encapsulated fertilizers, nanoclays, and carbon-based nanomaterials, are discussed for their potential in improving nutrient use efficiency.Due to their high surface area and unique physicochemical properties, nanomaterials facilitate better interaction with plant systems, enhancing nutrient uptake and reducing losses through leaching and volatilization. Nano-fertilizers enable synchronized nutrient release according to crop demand, resulting in improved crop yield and quality while minimizing environmental impacts. Additionally, their application supports sustainable farming practices by reducing excessive fertilizer use. However, challenges such as high production costs, lack of awareness, regulatory issues, and potential ecological risks limit their widespread adoption. Further research is required to assess long-term environmental impacts and ensure safe application. Overall, nanotechnology offers significant potential to revolutionize nutrient management in agriculture and contribute to sustainable food production systems.

The carbon footprint of food production plays a critical role in climate change and sustainable protein supply. This article compares aquaculture and livestock farming in terms of greenhouse gas emissions, feed efficiency, and resource use. Livestock systems, particularly ruminants, generate high emissions due to methane production, land-use change, and manure management. In contrast, aquaculture generally shows lower emissions and higher efficiency, although impacts vary by species. Shellfish and seaweed systems have the lowest environmental footprint and may contribute to carbon sequestration. Despite certain challenges, aquaculture offers a promising pathway for climate-smart protein production.

The evolution of weather forecasting has progressed from traditional methods to advanced technology, significantly benefiting modern agriculture. Initially, predictions relied on indigenous knowledge, which proved inaccurate for extreme weather. The development of numerical weather prediction (NWP) enhanced forecasting accuracy, particularly through global models like the Global Forecast System (GFS) and regional systems such as the Bharat Forecast System (BFS). Recent technologies, including remote sensing, satellite technology, artificial intelligence (AI), big data, and IoT, have enabled real-time monitoring. Nevertheless, improved forecasting is crucial for crop planning, irrigation management, and disaster mitigation in climate-resilient agriculture. Sophisticated weather forecasting technologies make weather prediction a reliable decision support system for climate-resilient agriculture.