Abstract
The abstract discusses the implementation of IoT-based Smart Agriculture in India to address the challenges of improving agricultural production and resource management. It emphasizes predictive analysis, IoT devices with cloud management, and security units for multi-culture farming, considering farmers' experiences. The research aims to revolutionize the agriculture sector by integrating modern technology, such as drones for crop monitoring and sensors for various agricultural purposes, to enhance productivity and sustainability.
Introduction
In the context of the provided text, the information "Accepted: 12.02.2021" indicates the date when the research paper was accepted for publication, while "Published: 26.02.2021" signifies the date when the paper was officially published and made available to the public. These dates are crucial milestones in the academic publishing process, marking the transition from acceptance to dissemination of the research findings within the scientific community.
Organization of the research
The text indicates the timeline of the research article, showing the dates when it was revised, accepted, and finally published. The structure of the research article is outlined, detailing the sections that cover existing research on IoT-based smart agriculture, challenges in modernizing agriculture, real-time tests in agriculture, and the conclusion with future prospects. This organization provides a clear roadmap for readers to navigate through the research content and understand the progression of ideas presented in the article.
Related works
In the context of related works in IoT-based smart agriculture, S. Sivachandran and colleagues proposed an integrated soil analyzer for pH calculation and soil nutrient analysis. Their system includes signal conditioning, processing control, and display units to enhance accuracy. This method enables the prediction of soil content by measuring nutrients like potassium, phosphorus, and nitrogen, contributing to advancements in precision agriculture technologies.
Methodologies
The "METHODOLOGIES" section outlines a block diagram illustrating the proposed concepts of the research project. This diagram includes units such as culture analysis, predictive analysis, IoT clouds, IoT devices and sensor module, Agri robot, and security management for integrating devices. The diagram visually represents the interconnected components and processes involved in the implementation of the research methodology, emphasizing the integration of IoT technologies and sensor networks for real-time data collection and analysis in agricultural applications.
Conclusion
The conclusion of the research outlines the proposed model for smart agriculture with IoT integration, highlighting its advantages and limitations. Emphasis is placed on cost-effectiveness in IoT devices by reducing hardware and software costs without compromising system precision. Standardizing data formats is recommended to enhance device consistency and execution time, while acknowledging the complexity of interlinked devices through a web server in the integrated system.