According to the Public Relations office of the Iranian Research Institute of Plant Protection, since multiple sampling of wheat fields requires high expense and trained experts, Dr. Masood Amir Mafi, the faculty member of the Wheat Sunn pest Research Department ‌has undertaken to prepare a forecasting model based on temperature ‌ for the management ‌ of wheat Sunn pest the important and key pest of wheat in line with the development ‌ of caring network programs.

Using a forecasting model to accurately predict the time of migration of over wintering Sunn pest (mother Sunn pest) from mountains to the farms and the time of the activity of the second and third instar nymphs in the field in order to announce the sampling and issuing control orders based on the level of economically damaging levels, significantly reduces visits to over wintering areas of the pest and therefore reduces the frequency of sampling of farms and the costs and saves the experts' time.

Wheat Sunn pest forecasting model has been prepared as a spreadsheet program that can be used in the Sunn pest rich regions to calculate the time of migration of the mother Sunn pest and the time of the activity of the second and third instar nymphs when the population of these biological stages reaches to 50% of their Frequency.