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Design and write the python code for Fuzzy Logic System for Smart Greenhouse. Fuzzylogic method begins by receiving input from a temperature sensor and humiditysensor then their value will be calculatedto produce the output as the duration ofwatering in the smart green house. The first input is a temperature with conditionlow, medium, and high with universe [0-40] and the second input is humidity withlevel of low, medium and high with universe [20-110]. The output is flush durationwith condition motor, medium and long with universe [0-180]- Use triangle membership function for fuzzification step.- The rules are defined as follow:- What is the flush time if temperature is 34 and humidity is 31?

Question

Design and write the python code for Fuzzy Logic System for Smart Greenhouse. Fuzzylogic method begins by receiving input from a temperature sensor and humiditysensor then their value will be calculatedto produce the output as the duration ofwatering in the smart green house. The first input is a temperature with conditionlow, medium, and high with universe [0-40] and the second input is humidity withlevel of low, medium and high with universe [20-110]. The output is flush durationwith condition motor, medium and long with universe [0-180]- Use triangle membership function for fuzzification step.- The rules are defined as follow:- What is the flush time if temperature is 34 and humidity is 31?

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Consider a fuzzy logic system that controls a heater in a room. The system takes two inputs: the temperature x and the humidity y. The fuzzy sets for x are Cold and Hot with membership functions μCold(x) and μHot(x), respectively. Similarly, the fuzzy sets for y are Dry and Wet with membership functions μDry(y) and μWet(y), respectively. The output z controls the heater and has Low and High fuzzy sets.The system has two rules:If the room is Cold and Dry, then the heater is set to Low.If the room is Hot and Wet, then the heater is set to High.Now, suppose on a particular day, the membership functions for the inputs are as follows: μCold(x) = 0.4, μHot(x) = 0.6, μDry(y) = 0.5, and μWet(y) = 0.5. Can you compute the rule strengths for the two rules?  a. 0.5, 0.5 b. 0.2, 0.3 c. 0.4, 0.5 d. 0.24,0.25

sider a fuzzy logic system where the input variable is “Temperature” ranging from 0°C to 50°C. The fuzzy sets for this variable are defined as “Cold”, “Warm”, and “Hot”. The membership function for the “Warm” set is a triangular function defined by the points (10,0),(25,1),(40,0),  where the function increases linearly from 10°C to 25°C and decreases linearly from 25°C to 40°C. If the current temperature is 30°C, what is the membership value of the “Warm” set?

Harry needs to write a program to check if maintenance is due for a machine based on usage and water hardness. The program should take two inputs: the number of cycles since the last maintenance and the water hardness setting (1 to 4). Maintenance is due if:The number of cycles is 300 or more.Or, the water hardness is 4 and the number of cycles since the last maintenance is greater than or equal to 75% of 300 cycles.Help Harry in this task by using the logical operators.Input format :The first line of input consists of an integer N, representing the number of cycles.The second line consists of an integer H, representing the hardness setting of water.Output format :The output displays "Maintenance is due." if maintenance is required.Otherwise, display "Maintenance is not yet due."Refer to the sample output for formatting specifications.Code constraints :In this scenario, the test cases fall under the following constraints:1 ≤ N ≤ 3501 ≤ H ≤ 4Sample test cases :Input 1 :3102Output 1 :Maintenance is due.Input 2 :2901Output 2 :Maintenance is not yet due.Input 3 :2754Output 3 :Maintenance is due.

Greenhouse Monitoring: In agriculture, this system can be used to monitor environmental conditions in a greenhouse, ensuring optimal conditions for plant growth.

How is Fuzzy Logic different from conventional control methods?a) IF and THEN Approachb) FOR Approachc) WHILE Approachd) DO Approach

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