Sequential third order response surface design from an application perspective

Response surface methodology (RSM) is mostly used to create a relationship between factors and responses and to determine the best set of variables to use in order to maximise responses(s). In comparison to phosphate and potassium, nitrogen is used excessively, which is problematic from an agronomic and environmental standpoint. Potassium and phosphorus levels in the soil are dropping. Unbalanced fertiliser application may also be caused by the method of getting each individual’s optimum dose through distinct response curves. Therefore, figuring out the ideal and balanced amount of N, P, and K for various crops has been a crucial challenge. Utilizing RSM, fertiliser dosage can be adjusted and optimised. RSM is mostly used to create a relationship between factors and responses and to determine the best set of variables to use in order to maximise responses (s). RSM mostly deals with quantitative factors, although there are circumstances where factors may be of the qualitative type, such as soil type, seed varieties, and irrigation method. In such a case, RSM can still be used, and study has been done on this. Other aspect of response surface design is sequential experimentation is utilised to conserve resources and conduct experiments more cheaply. Sequential RSDs are executed step by step. A detailed information on along with the application is given in this article. Finally, an explanation is given of how various competing designs are contrasted and the best one is selected utilising various optimality criteria and a graphical technique.