Detailed Methodology

SRI  VENKATESHWARA COLLEGE OF ENGINEERING
Vidyanagar, Bengaluru - 562157 
Department of Electrical and Electronics Engineering


FUZZY LOGIC BASED AUTOMATED SEED SOWING ROBOT
PRESENTED BY:                                                             GUIDE:              
ANUSHA K                                                    Dr. Vijayashree R Budyal       
ACHUTH KUMAR V                            HOD Dept of EEE SVCE Bengalur       
PRAJWAL KUMAR J
SAHANA BR

To select a seed based on Fuzzy Logic


Step 1: Checking for the temperature and pH value of the soil using sensors
Step 2: Fuzzy logic approach of 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 Figure 1

Figure 1: Mamdani Model
§ The output membership function which represents the seed selection is assigned as shown in Figure 2

Figure 2: Output membership function

§ Rules for the Fuzzy inference system are assigned considering centroid method of deffuzification as shown in Figure 3.

Figure 3: Rule View
§  Rule view indicating the output is shown as shown in Figure 4.

Figure 4:   Centroid method of deffuzification
For example let the temperature of the soil be 29 in degree Celsius and season be 5 i.e. May with a Ph value of 5.6 then the output value obtained from the fuzzy logic be 0.746  through our intelligence we decide the seed to be selected as peas

 For Automated Seed Sowing Robot

Step 1: Bluetooth is used as a communication module through which the data (i.e.) the output of fuzzy logic, the seed selected is sent to the microcontroller and motor adjusts the distance between the two seeds for that corresponding seed.
Step 2:  The system is turned on manually by activating the switch, 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 3: The sowing of seed is followed by closing the soil, and watering the seed through hydraulic system for proper germination of seed.
Step 4: Power supply is given drawn from the renewable energy which is solar energy using solar panel for the entire process of seed sowing.
  Block diagram indicating the above process is shown in Figure 5(a) and Figure 5(b)


Figure 5 (a) Seed selector block diagram

Figure 5(b): Block Diagram of Automated seed sowing robot
 Seed Sowing Mechanism (Robot)
It is used for the application of seed sowing, we are using wiper motor. The below Figure 3.4(a) and figure 3.4 (b) shows seed sowing mechanism. As the shaft of motor can be turned by the required degree which is attached with the hopper containing seeds, the mechanism of seed sowing is achieved easily. It consists of nozzle through which the seed displacement takes place and a single seed selector for sowing singe seed at a time .Solar panel is used to provide electricity for the movement of the robot.

Figure 6(a): Seed sowing robot structure


          Figure 6(b): Outer sketch of the robot
    Circuit Diagram
The circuit diagram for automatic seed sowing is as shown in the figure 7


Figure 7 Circuit Diagram for Automatic movement of robot for seed sowing

Flowchart
Flowchart representing the process of Fuzzy Logic is shown in figure 8 and the process of automatic seed sowing is shown in the figure 9


Figure 8 Fuzzy Logic Flowchart

                                         
Figure 9 Flowchart representing robotic movement

 Table indicating the output of fuzzy for four different seeds at different value of temperature ,season and moisture content



Temperature
Season
pH
Selected Seed Value
Selected Seed
26
5
5.2
0.125
Bengal Gram
26
5
5.4
0.125
Bengal Gram
26
5
5.6
0.125
Bengal Gram
26
5
5.624
0.233
Bengal Gram
26
5
5.628
0.25
Bengal Gram / Groundnut
26
5
5.63
0.258
Groundnut / Peas
26
5
5.64
0.296
Groundnut / Peas
26
5
5.8
0.5
Groundnut / Peas
26
5
6
0.5
Groundnut / Peas
26
5
6.2
0.5
Groundnut / Peas
26
5
6.4
0.5
Groundnut / Peas
26
5
6.6
0.5
Groundnut / Peas
26
5
6.8
0.5
Groundnut / Peas
26
5
7
0.5
Groundnut / Peas
26
6
5
0.5
Groundnut / Peas
26
6
5.1
0.125
Bengal Gram
26
6
5.2
0.125
Bengal Gram
26
7
5.624
0.233
Bengal Gram
26
7
5.628
0.25
Bengal Gram / Groundnut
27
7
5.624
0.233
Bengal Gram
27
7
5.628
0.25
Bengal Gram / Groundnut
29
5
5.622
0.794
Soybean
29
5
5.623
0.746
Peas
29
5
5.8
0.875
Peas
29
5
6
0.875
Peas
29
5
6.2
0.625
Peas
29
5
6.4
0.625
Peas
29
5
6.6
0.625
Peas
29
5
6.8
0.625
Peas
29
5
7
0.5
Groundnut / Peas
29
6
5
0.5
Groundnut / Peas
29
6
5.2
0.5
Groundnut / Peas
29
6
5.4
0.5
Groundnut / Peas
29
6
5.6
0.5
Groundnut / Peas
29
6
5.62
0.875
Soybean
29
6
5.8
0.875
Soybean
29
6
6
0.875
Soybean
29
6
6.2
0.875
Soybean
29
6
6.24
0.736
Peas
29
6
6.4
0.625
Peas
29
6
6.6
0.625
Peas
29
6
6.8
0.625
Peas
29
6
7
0.5
Groundnut / Peas
29
7
5
0.5
Groundnut / Peas
29
7
5.2
0.5
Groundnut / Peas
29
7
5.4
0.5
Groundnut / Peas
29
7
5.62
0.875
Soybean
29
7
5.64
0.875
Soybean
29
7
5.8
0.875
Soybean
29
7
6
0.875
Soybean
29
7
6.2
0.875
Soybean
29
7
6.24
0.736
Peas
29
7
6.4
0.625
Peas
29
7
6.6
0.625
Peas
29
7
6.8
0.625
Peas
29
7
7
0.5
Groundnut / Peas
30
9
6.2
0.5
Groundnut / Peas
30
9
6.4
0.5
Groundnut / Peas
30
9
6.6
0.5
Groundnut / Peas
30
9
6.8
0.5
Groundnut / Peas
30
9
7
0.5
Groundnut / Peas
30
10
5
0.5
Groundnut / Peas
30
10
5.2
0.5
Groundnut / Peas

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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. EXPECTED OUTCOME OF THE PROJECT: •         Better selection of seed by applying the fuzzy logic for selecting the seed depending on the soil parameters. As soil parameters are uncertain, fuzzy logic concept is applied to select the seed. •         Good crop yield by sowing the seed at proper distance between the seeds for the corresponding seed selected. •         NPK level of the soil is increased by fertilizers spraying.                         Seed growth is enhanced by spraying of fertilizers and pesticides Figure Representing the single seed operation mechanism...
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ABSTRACT

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. India is a country wherein we are totally dependent on agriculture. Farmers face many problems during sowing of seed like selecting the seed, checking condition of the soil, checking for the quality of seed, finding labourers for sowing the seed. Selection of seed is very vital and it depends on various parameters like temperature of the surrounding, season, pH value of the soil, moisture content of the soil, texture of soil. The distance between two seeds while sowing is different for unlike for the seeds or else the seed growth will be diminished. As the availability of the framers in the village is reducing due to migration towards the cities, we propose a project which performs the seed selection based on the fuzzy logic and sowing the se...
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