Proposed Technique

FUZZY LOGIC BASED AUTOMATED SEED SOWING ROBOT

ANUSHA K, PRAJWAL KUMAR J, ACHUTH KUMAR V, SAHANA BR

Under the Guidance of:

Dr. Vijayashree R Budyal

HOD, dept. of EEE

COLLEGE: SRI VENKATESHWARA COLLEGE OF ENGINEERING BENGALURU.

PROPOSED SOLUTION:

The project “Fuzzy Logic based Automated Seed Sowing Robot” proposes the use of Fuzzy Logic, where the selection of the seed takes place using fuzzy logic depending upon the parameters such as temperature, pH, and season. Based on the output of the Fuzzy Logic the seed is selected and the robot gets the selected seed information by Bluetooth. And robot automatically drives the motor to adjust the distance of sowing the seeds depending on the seed selected.  As this system uses fuzzy logic, it accepts the data which is imprecise and produces the output in a particular range therefore the probability of obtaining the expected and effective output is high. The purpose of using this system is that robot automatically starts sowing when the machine starts from a particular place with the particular distance eventually. Energy is the main criteria for the process to be carried out efficiently, hence we are using renewable source that is “Solar energy” by converting it into usable electrical energy by implementing Solar Panel. Solar panel is placed on the top of the robot. By using advanced technologies, the crops yield will be high.

METHODOLOGY:

The following steps are followed for selecting the seed to be sown depending on the parameters of the soil

Step 1: Check the temperature and pH value of the soil using sensors.

Step 2: Soil parameters like temperature pH value and season act as input to Fuzzy logic for selection of seed

•      The crisp inputs temperature, season and pH value of the soil are considered and the membership functions are assigned for each input value considering the triangular type of membership function and mamdani model as shown in fig 1.

Fig.1: Mamdani Model

•      The output membership function which represents the seed selection is assigned as shown in fig 2.

Fig.2 : Output membership function

•      Rule view indicating the output is shown as shown in fig 3.

Fig.3: Rule View

•      Rules for the Fuzzy inference system are assigned considering Centroid method of deffuzification for selecting the seed depending on soil parameters temperature, pH value and season and is as shown in fig4. The seed selected may be ground nut, moong etc., depending on the parameters.

Fig. 4:   Centroid method of deffuzification

                                                                                                                    

Step 5: The seed selected by fuzzy logic is sent to the microcontroller present in Agri-Robo by Bluetooth and Agri-Robo adjusts the motor at a particular distance for sowing the seed as shown in  fig.5 

Fig.5.  Block Diagram of Smart Fuzzy Seeding Agri-Robot

Step 6:  The system is turned on manually by activating the switch of Agri-Robo, and the process of seed sowing is carried out for a particular distance between the two seeds, if any disturbance encountered while seed sowing it is sensed through IR sensor and alarm is generated and the disturbance is cleared.

 Step 7: The sowing of seed is followed by closing the soil, and watering the seed through hydraulic system for proper germination of seed.

 Step 8: Power supply is given drawn from the renewable energy which is solar energy using solar panel for the entire process of seed sowing.