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AI-Powered IoT (AI IoT) for Decision-Making in Smart Agriculture

Kutubuddin Sayyad Liyakat Kazi

2024Advances in computational intelligence and robotics book series35 citationsDOI

Abstract

Smart farming using AI-driven IoT is revolutionising the agriculture sector, increasing its profitability, sustainability, and efficiency. Farmers may automate processes, make data-driven choices, and encourage sustainable practices by utilising cutting-edge technologies. In order to meet the increasing demand for food, smart farming must embrace AI-driven IoT, as the world's population is predicted to exceed 9.7 billion by 2050. We can confidently state that this technology represents the direction of agriculture and will be crucial in providing food for the world's population in the years to come. The agricultural business could undergo a significant transformation because to AI-powered IoT. Farming is becoming more profitable, sustainable, and efficient as a result of utilising data and sophisticated technology. All farmers, regardless of the size of their enterprises, must have access to and a reasonable price for this technology, though. AI-driven IoT can revolutionise food production and guarantee food security for future generations if it is implemented and integrated properly. IoT powered by AI has the power to completely transform the agriculture sector. Farmers can enhance decision-making, efficiency, and yields while lessening their environmental impact by leveraging the power of data, AI, and IoT. To create a more productive and sustainable agricultural future, it is imperative that organisations, governments, and farmers work together and adopt this technology. The proposed KSK approach is nothing but the decisions making by means of IoT powered by AI. The proposed system is more accurate due to use of AI algorithms.

Topics & Concepts

AgricultureSustainabilityProfitability indexPopulationFood securitySustainable agricultureInternet of ThingsBusinessComputer scienceEnvironmental economicsComputer securityEconomicsGeographyFinanceSociologyArchaeologyDemographyBiologyEcologySmart Agriculture and AIOrganizational and Employee PerformanceInternet of Things and AI