
Group testing involves more than one unit with simple-test for cost effectiveness. The study constructs a maximum likelihood estimator of a rare disease in plants based on group testing framework. The properties of the estimator, bias, MSE, and asymptotic variance are also discussed. The procedure is viable if the group size is relatively small but as the group size increases the estimator is relatively poor.