A Novel Approach for Crop Selection and Water Management using Mamdani’s Fuzzy Inference & IOT

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Published: Oct 27, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i9.8320
Keywords:
NodeMCU, Fuzzy Logic, smart irrigation, Crop predictor

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Vinod H Patil
Department of E&TC Engineering, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India
Jyoti Dhanke
Department of Engineering Science (Mathematics), Bharati Vidyapeeth's College of Engineering, Lavale, Pune, India
Mahmoud Abou Ghaly
Department of Mathematics, Faculty of Science, Ain Shams University, Cairo, Egypt
R N Patil
Department of Mechanical Engineering, Bharati Vidyapeeth's College of Engineering Lavale, Pune, India
Atish Mane
Department of Mechanical Engineering, Bharati Vidyapeeth's College of Engineering Lavale, Pune, India
Yusuf Perwej
Department of Computer Science & Engineering, Goel Institute of Technology & Management, Lucknow, UP
Anurag Shrivastava
Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu

Abstract

In the modern world, technology is always evolving to replace more human labour with artificial intelligence. Moreover, farmers are under constant pressure to irrigate their farms at regular intervals without even a rudimentary grasp of the rainfall pattern and soil humidity, since it is extremely difficult to cultivate any agricultural food in regions with irregular rainfall patterns and high mean temperatures.


This paper proposes a crop predictor and smart irrigation system using Mamdani’s fuzzy inference and IoT. The system aims to optimize water usage and crop yield by considering various factors such as soil moisture, temperature, humidity, rainfall, crop type and season. The system consists of three modules: a crop predictor module that uses fuzzy logic to suggest the best crop for a given location and season, an IOT module that collects and transmits the environmental data from sensors to a cloud server, and a smart irrigation module that uses fuzzy logic to control the water flow to the crops based on the data and the crop predictor module. The system is implemented and tested on a NodeMCU and MATLAB platform and shows promising results in terms of water conservation and crop productivity.

Article Details

How to Cite
Patil, V. H. ., Dhanke, J. ., Ghaly, M. A. ., Patil, R. N. ., Mane, A. ., Perwej, Y. ., & Shrivastava, A. . (2023). A Novel Approach for Crop Selection and Water Management using Mamdani’s Fuzzy Inference & IOT. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 62–68. https://doi.org/10.17762/ijritcc.v11i9.8320
Issue
Vol. 11 No. 9 (2023)
Section
Articles

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