STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Microcontroller Engineering and Applications Original Research

KSK Approach to Smart Agriculture: Utilizing AI-Driven Internet of Things (AI IoT)

  1. Dr. Kazi Kutubuddin Sayyad Liyakat Department of Electronic & Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur

Abstract

An enormous change is taking place in the agriculture industry as a consequence of the arrival of the AIIoT, which is powered by artificial intelligence and provides farmers with unparalleled automation capabilities and insights. The determination of this research is to present a all-inclusive review of artificial intelligence and the internet of things (AIIoT) in smart agriculture, focusing on its applications, benefits, and consequences for decision-making. The concept of smart agricultural decision-making refers to a breakthrough method that enables farmers to augment their farm maneuvers while also making judgments that are well-informed. Farmers are able to increase crop yields while simultaneously reducing costs and hazards when they make use of advanced analytics, real-time info, and decision-making tool. The development of smart agriculture will result in farmers having increased decision-making authority, which will ultimately lead to an agricultural sector that is more maintainable and productive. The Internet of Things (IoT) and artificial intelligence (AI) in smart agriculture is a cutting-edge technology which has potential to be a game-changer in terms of how to harvest and consume food. Agriculturalists may be able to improve agricultural yields and quality, streamline operations, and contribute to a food supply chain that is more efficient and sustainable if they use AI and IoT. In spite of the fact that there are still certain problems that need to be cleared up, the IoT offers numerous advantages for smart agriculture, and its implementation is anticipated to increase in the years to come. The KSK technique, also known as the Knowledge-Sensors-Knowledge approach, is a suggestion made by Dr. Kutubuddin S. Kazi, who is also using his name. The output of the KSK technique results in an accuracy of 99.9% and a recall of 97.9%, respectively.

Keywords

References (45)

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