Efficiency of the products grown in field condition and the determination of this efficiencies can be determined at harvest time. Computer technology is the most widely used tool for precision farming applications in located yield estimation modeling. Knowing the number of plants per hectare is very important to yield estimate. To this end, remote sensing and image processing method is most widely used for precision agriculture application. Both satellite imagery as well as pictures taken by unmanned aerial vehicles using image processing methods models can be created yield prediction. On this study aimed to identify the number of plants under field conditions with low altitude viewing. At K-Means method was obtained %86.3, %80, %86.9 accuracy rates, at color-based segmentation method was obtained %89.2, %70.9, %91.3 accuracy rates.