Introduction
In the quickly developing field of precision agriculture, my research paper, “Best Approaches for Smart Gardening,” represents a major turning point in my academic career. Presented at the 6th International Conference on Interdisciplinary Researches in Electrical, Computer, Mechanical, and Mechatronics Engineering in Iran and the Islamic World, this work represents my initial contributions to the fusion of machine learning and Internet of Things (IoT) in gardening approaches.
Motivation
The desire to combine my interest in sustainable practices with my technical skills as a student of software engineering served as my driving force for this research. My professor helped me explore how cutting-edge technologies could be used to address important agricultural issues like food security and resource management. I am excited about innovation and interdisciplinary collaboration because this research is the start of my academic journey.
Research Focus
Under the invaluable guidance of my professor, as a Software Engineering Bachelor’s student, made my first academic research effort. My objective was to investigate how traditional gardening could be revolutionized by cutting-edge technologies. In order to maximize sustainability and efficiency through IoT integration, the paper presents a thorough comparative analysis of four alternative strategies for putting smart gardening systems into practice.
Key Contributions
- Comparison of Four Approaches: In this study, four distinct smart gardening systems that each used IoT in a different way were thoroughly compared. This analysis gave me a clear perspective on the relative merits of each approach in practical applications, which enhanced my understanding of the technical landscape.
- Case Study with IoT Integration and Machine Learning: Of the systems examined, one was particularly noteworthy for its exceptional efficacy. This system brought together machine learning and the Internet of Things, along with an application that provided real-time reporting and monitoring of important parameters. In terms of increasing plant growth, maximizing yield, and optimizing resource usage, this strategy turned out to be the most effective. It illustrated the great potential for developing adaptive gardening systems through the use of predictive analytics.
- Predictive analytics and Real-Time Data: The noteworthy case study emphasized the significance of real-time data gathering and analysis. The system guaranteed ideal growing conditions by anticipating changes in the environment and automatically adjusting, demonstrating how technology can greatly increase agricultural productivity.
Publication
- 6th International Conference on Interdisciplinary Researches in Electrical, Computer, Mechanical and Mechatronics Engineering in Iran and Islamic World
- Publish Year: 1400
- Type: Conference paper
- Pages: 22
- Language: Persian
- View: Around 500
- In Iran/ Tehran
- Key words: Internet of things, machine learning, smart gardening, technology