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Advances in Smart Agriculture: Integrating IoT with Smart Sensors for Sustainable Farming

JARMS
Citation: Rajesh Parihar (2024). Advances in Smart Agriculture: Integrating IoT with Smart Sensors for Sustainable Farming, Journal of Academic Research in Multidisciplinary Studies, 1(1), 001-009

Author

Rajesh Parihar
Shri Venkateshwara University (SVU), Gajraula, Uttar Pradesh, India

Dr. Sharad Kumar
Shri Venkateshwara University (SVU), Gajraula, Uttar Pradesh, India

Abstract

Underwater imaging, robotics, navigation, automation, and remote sensing are just a few of the many fields that use sensors today. Particularly important in the fields of smart agriculture and remote sensing are sensors that use cutting-edge approaches such as artificial intelligence (AI). By enabling the use of a wide range of sensor-based equipment and systems, the rise of the Internet of Things (IoT) has brought useful tools to the agricultural domain, and systems. Sensors enabled by artificial intelligence (AI) serve as intelligent sensors. With a focus on remote sensing and agricultural applications, this article offers a thorough analysis of the latest developments in smart sensors and the IoT. Some examples of these uses include drone deployment, crop monitoring, robot harvesting and weeding, and weather and soil quality evaluation. With a focus on specific types of sensors and sensor technologies, this study thoroughly analyzes, compares, and proposes improvements to the Internet of Things (IoT). The study’s authors hope that researchers, farmers, remote sensing experts, and policymakers would all benefit from the study’s findings, both in theory and in practice.

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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.

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