The essential purpose of this research study is to analyze the relationship among information technology, precision agriculture, and sustainability. This research study is related to primary data analysis, which determines the research used specific questions related to the variables. The open-ended and closed-ended questions are used for gathering the data, and these questions fulfill from different participants who have knowledge about sustainability, information technology, and agriculture. For measuring the data, used smart PLS software and generated different informative results such as indicator correlation, R square, F square, discriminant validity, and composite Reliability. Also, that smart PLS Algorithm model in between independent and dependent variables. Information technology is the main independent variable, and precision agriculture, also sustainability are both dependent variables. The overall result found that information technology positively relates to precision agriculture. The significant and direct relation with sustainability and information technology are positively associated with each other.