Smart Agriculture based on AI-Driven-IoT (AIIoT): A KSK Approach

Abstract

The advent of the Artificial Intelligence-driven Internet of Things (AIIoT) is causing a significant revolution in the agricultural sector by offering farmers unmatched automation capabilities and insights. This study aims to provide an extensive overview of AIIoT in intelligent agriculture, highlighting its applications, benefits, and implications for decision-making. A revolutionary technique that allows farmers to optimize their farm operations while making well-informed decisions is smart agricultural decision-making. By employing sophisticated analytics, real-time data, and decision-making tools, farmers may maximize crop yields while minimizing costs and hazards. As smart agriculture advances, farmers will have more decision-making power, leading to a more sustainable and productive agricultural sector. The use of IoT and AI in smart agriculture is an innovative technology that has the potential to change how we produce and consume food drastically. Farmers may improve crop yields and quality by employing AI and IoT, streamlining processes, and adding to a more efficient and sustainable food supply chain. Even if specific issues still need to be resolved, AIIoT has many benefits for smart agriculture, and its application is expected to grow. The KSK approach is suggested by and in the name of Dr. Kutubuddin S Kazi as a Knowledge-Sensors-Knowledge approach. KSK approach output is 99.9% and 97.9% for accuracy and recall, respectively.