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A field experiment was conducted to study, design and testing repotting agricultural, not served for the process of seeding, fertilization and irrigation first in that one. In one of the fields of the College of Agricultural Engineering Sciences / University of Baghdad in Al-Jadriya during the year 2020-2021, and testing it to see its effect on some mechanical properties, and some soil properties. Two factors were used in the experiment: the first factor included, the speed of the agricultural robot, and in three levels: 3, 5 and 10 km / hour. The second factor included seed depth coefficients in three levels: 3, 6 and 9 cm. The traits that were studied were, field efficiency, energy consumption, number of seeds per square meter and number of individual seeds per line length. The experiment was carried out using a nest design. Nested Design Under the design of the complete randomized sectors (RCBD), with three replications, the use of the least significant difference and the level of probability (0.05 LSD). To compare averages of transactions. The results obtained can be summarized as follows: The second speed treatment of the robot excelled in increasing the field efficiency, the lowest energy consumption, the best amount of descending seeds and the best distance between seeds in the line. There is a slight significant effect of velocity and depth parameters on actual productivity and energy consumption. The increase in the operational speed of the mechanical unit from 3 to 5 and then to 10 km / hour, led to a significant increase in the practical productivity per he., but significant differences were found in the process of distributing seeds in the inequality. Superiority first depth (0- 3 )Cm, and for all speed in increasing field efficiency and less energy consumption There are slight significant differences for the speed and depth parameters in the seed distribution and landing process. The agricultural robot succeeded in the process of seeding, fertilization and first irrigation with high efficiency, as the study showed the possibility of applying the robot to perform remote sensing in agricultural environments.