Internet of Things-Based Smart Agriculture Advisory System

Title

Internet of Things-Based Smart Agriculture Advisory System

Creator

Jeyabalu M.; Ghodi A.S.; Balasubramanian S.; Chinnayan B.; Jayapal J.

Description

The Internet era provides a lot of automation tools for data analysis, and it is the need of the hour to develop new analytical tools to manage the big data. For task automation, machine learning and expert systems are of primary importance to study the behavior of computer thinking to involve computers in sensible work, known as computational intelligence. The data involves varied formats such as structured, unstructured, as well as semi-structured, and it is an automation tool that uses computational intelligence to extract valid and potential information from the sources. The specific purpose of this proposed work is to meet out computing demands which highly rely on computational intelligence. Computational intelligenceinvolves the design and deployment of an analytical tool for multidimensional data analytics. The proposed integrated framework focuses on multidimensional data analytics, for crop and plant data, especially plants that contain medicinal values and components. This research works main aim is to create a secured data tool for agriculture crop data management through big data (crops and plants) analytics. The data security is enhanced through applied cryptography, and the final phase prediction on crops is done by various machine and deep learning algorithms. The specific objective of this research work is to help farmers in making informed decisions for the enhancement of cultivation and information. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Source

Signals and Communication Technology, Vol-Part F2461, pp. 159-177.

Date

2024-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Computation simulation; Multidimensional data; Smart agricultural system; Smart agriculture; Smart IoT; Computational intelligence

Coverage

Jeyabalu M., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore Yeshwanthpur Campus, India; Ghodi A.S., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore Yeshwanthpur Campus, India; Balasubramanian S., Department of Information Technology, University of Technology and Applied Sciences, AL Mussanah, Oman; Chinnayan B., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore Yeshwanthpur Campus, India; Jayapal J., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore Yeshwanthpur Campus, India

Rights

Restricted Access

Relation

ISSN: 18604862

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-3-031-51195-0_9

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189550165&doi=10.1007%2f978-3-031-51195-0_9&partnerID=40&md5=330947b5db95cd252bdd3ad2bc7b9509