An Enhanced Automation Analysis for Structural Algorithm in Agro-Industries Using IoT

Title

An Enhanced Automation Analysis for Structural Algorithm in Agro-Industries Using IoT

Creator

Vineetha K R.; Bala N.N.; Sudha V.; Balakrishnan D.

Description

The Internet of Things (IoT) based structural algorithm for automatic agriculture refers to the system of using powerful real-time data collected from a variety of sensors with software and analytics to autonomously manage agro-ecosystems. This algorithm can be used to monitor environments, analyze data and use this knowledge to take specific actions to help farmers and producers maximize their production and profitability. This algorithm provides an unprecedented level of precision, accuracy and control over the agricultural environment, allowing greater efficiency and optimization in farming practices. It enables monitoring, scheduling, and control of different agro-ecosystem components, such as water, soil, fertilizer, light, humidity, temperature, soil pH and crop growth. The algorithm can also point to general trends and patterns in the environment, as well as offer timely advice to farmers in response to real-time conditions. The algorithm is also capable of automatically diagnosing and responding to unexpected problems, which can help prevent costly mistakes and excessive waste of water, fertilizer, energy, etc. 2023 by the authors.

Source

Engineering Proceedings, Vol-59, No. 1

Date

2023-01-01

Publisher

Multidisciplinary Digital Publishing Institute (MDPI)

Subject

agriculture; IoT; sensors; software; structural algorithm

Coverage

Vineetha K R., Department of Computer Science, Christ (Deemed to Be University), Bangalore, 560029, India; Bala N.N., Department of Mathematics, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, 600109, India; Sudha V., Department of Electronics and Communication Engineering, Sona College of Technology, Salem, 636201, India; Balakrishnan D., Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, 626126, India

Rights

All Open Access; Hybrid Gold Open Access

Relation

ISSN: 26734591

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.3390/engproc2023059118

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186430694&doi=10.3390%2fengproc2023059118&partnerID=40&md5=fa1c0abbe9131d8929381b3d583980fc