Agro-guard uses environmental information like climate data, pest data, and geographical data as input to aid in pest prediction. The model's accuracy improves as a period of five or seven days passes before the projected value arrives, giving users enough time to plan their actions and lower the bug population. It also can predict prospective field conditions and give farmers the best possible working environment. Furthermore, farmers can schedule their efforts over a set amount of time. Later, farmers will have the chance to analyze their priorities and decide which locations to visit first on using pesticides.

Agro-guard seeks to develop cutting-edge research to enhance decision-making in the long-term control of insect pests and illnesses by providing pest and disease monitoring and prediction information. It predicts pests using weather, pest and location data. Agro-guard provides the users with the correct pesticide with the right quantity at the right time.