Agrochemicals are meant to be used for the sole purpose (single motive) of increasing agricultural productivity. However, due to extensive use of agrochemicals, negligence of instructions, improper guidance, and lack of management and awareness, it has become a major reasonable factor for polluting the environment. It also leaves serious consequences for the health of the consumers. Pesticide residue remains in the food chain due to its excessive usage which will contribute to several health issues, acute as well as chronic. A lot of measures are required to monitor, calculate, and ensure the use of pesticides at each level. The machine learning based prediction model would be a great asset to manage the pesticide usage issue. This paper focuses on the human health issues that occurred due to the excessive use of agrochemicals. Further, a review of Artificial Intelligence based models used for the classification and prediction of pesticide residue in agriculture end products, and its associated factors is presented in this paper. The findings of the presented work will assist agricultural practitioners in taking preventive and perfective measures to use agrochemicals and to make producers and consumers aware of its serious consequences.