_{According to the United Nations FAO (Food and Agriculture Organisation), the world population would expand by another 2 billion in 2050, but extra land area under cultivation will account for only 4% of total land area at that time. In such cases, more efficient farming practises can be achieved by utilising recent technical developments and solutions to current farming bottlenecks. Crop metrics could be constructed over hundreds of acres of cultivable land using remote sensing (RS) techniques and 3D laser scanning. AI-based crops produced a 30% increase in average crop output per ha and provided a rapid GTM (go-to-market plan) approach for crops. This article raise an image of boosting agriculture and analyses the AI-powered concepts in the future and the obstacles that are expected.}