Crop models are a formal way to present quantitative knowledge about how a crop grows in interaction with its environment. One of the possible appliances of remote sensing in farming is the estimation of crop acreage and recognition of crop situation because of either water stress or pest. APSIM model is composed of several modules that enable the simulation of agricultural systems based on plant, animal, soil, climate, and management interactions. As pesticides have various effects on the growth of crops, but the use practical applications of crop modeling plant extracts as the source of weed killers can be very beneficial for plant growth. Although there is a range of crop modeling crops, but sorghum and sunflower are the mostly studied crops effectively controlled by crop modeling. The main theme of agricultural research is very complex and diverse topic involving cooperation and antagonism of various processes in crops. Crop modeling has been a core theme of the agricultural research for controlling the various diseases. So, there is a need to conduct more research on the crop modeling relations of wheat with respect to increase the yield and productivity in order to increase the quality of crops to contribute to the human life.