Article ID : sjrit.2024.8 | Open Access

Implementation of FUZZY LOGIC Methods & IOT Techniques for Elegant FARMING and Production of Crops



Vinod Srivastav | Dr. Anurag Upadhyay
Submission Date : October 22, 2024 Publication Date : December 31, 2024


In India, one of the main industries is agriculture. The development of internet of things technology has made life easier and more intelligent for humans in every aspect. IOT is the term for technology that makes use of ground-level sensors and actuators that are controlled by the user via a network and a graphical user interface. The primary goal of this Research is to employ FUZZY LOGIC & IoT techniques and technologies to make agriculture smarter. In IOT, the term "smart farming" typically refers to a farmer's use of a mobile application to monitor their fields. Temperature and soil moisture levels that may have an impact on plant growth. This paper describes a pump switching system that the user can adjust to their own preferences. Our paper presents a great opportunity for success in utilizing sensors as input and IOT as an output.
Fuzzy logic is an approach to reasoning that deals with approximate rather than fixed and exact reasoning. It’s especially useful in situations where information is uncertain or imprecise. In farming, fuzzy logic can be applied in various ways to improve decision-making and optimize operations.
We present a process for developing an intelligent irrigation system that addresses the challenges brought on by scarce water supplies in regions with notable water scarcity. The system leverages fuzzy inference techniques and Internet of Things (IoT) technology to support the advancement of irrigation control and the encouragement of water conservation.
The study's test results allow for the following conclusion to be drawn. One possible design for the system is a smart farming system. With a 94.98% success rate, the system can be integrated with the fuzzy logic method on the smart farming system. The temperature and humidity at the designated set points demonstrate that the system is capable of controlling the smart farming system.
 
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Pain Text:
Vinod Srivastav, Dr. Anurag Upadhyay (2024), Implementation of FUZZY LOGIC Methods & IOT Techniques for Elegant FARMING and Production of Crops. Samvakti Journal of Research in Information Technology, 5(2) 1 - 10.