For more than a century, agricultural mechanization encouraged larger fields with more uniform management and increasing impacts on the environment. The trajectory of agricultural technology is now at an inflection point where information technology, including remote sensing, simulation modeling, decision support systems, precision agricultural technologies, and automation, enables site-specific management at small spatial scales with the potential to simultaneously enhance food and bioenergy production, farm profitability, and environmental quality. To achieve these economic and environmental benefits of transforming agricultural landscape design and cropping system management, agricultural producers need increased access to both enabling technologies and engineering expertise. Government policies and programs are also needed to incentivize changes in cropping systems that promote soil health and improve water quality, for example, payments to cover much or all of the cost of transitioning land use to perennials and nutrient trading programs in which agricultural producers contract with industrial and municipal wastewater generators to reduce nutrient loading at a reduced cost. Information technology is providing the tools to target, quantify, and document this re-coupling of economic, environmental, and social sustainability in food–energy–water systems.

The United Nation Sustainable Development Goals emphasized to meet the global food security challenges by mechanized farming; access of clean water challenges by renewable freshwater withdrawals; clean energy issues determined by clean fuel and cleaner technologies; and combat climate change by limiting anthropogenic emissions of carbon, fossil fuel, and Greenhouse Gas emissions in the air. This study examined the aforementioned United Nation Sustainable Development Goals in the context of Pakistan by using a time series data from 1970 to 2016. The study employed Tapio’s elasticity of decoupling state to analyze the relationship between water-energy-food resources and carbon-fossil-greenhouse gas emissions in a given country context. The results of Tapio elasticity found that carbon-fossil-greenhouse gas emissions’ contamination in water-energy-food’s resources are quite visible that exhibit weak decoupling state, expensive negative decoupling state, and strong decoupling state in the different decade’s data, which substantiate the ecological cost in water-energy-food’s resources. The results emphasized the need to adopt different sustainable instruments in a way to limit carbon-fossil-greenhouse gas emissions in water-energy-food resources through cleaner production technologies, renewable energy mix, environmental certification, anti-dumping tariff duty, strict environmental regulations, etc. These instruments would be helpful to achieve environmental sustainability agenda for mutual exclusive global gains.