The article "Empowering Vertical Farming through IoT and AI-Driven Technologies: A Comprehensive Review" by Ajit Singh Rathor, Sushabhan Choudhury, Abhinav Sharma, Pankaj Nautiyal, and Gautam Shah explores the potential of vertical farming (VF) as a sustainable solution to meet the growing global food demand. The authors highlight the challenges of traditional farming, such as soil degradation, water scarcity, and environmental impacts, and discuss how VF can address these issues through modern technologies like hydroponics, aeroponics, and aquaponics. The article reviews the application of artificial intelligence (AI) and the Internet of Things (IoT) in VF systems, focusing on areas such as disease detection, crop yield prediction, nutrition, and irrigation control. Machine learning (ML) algorithms are used for tasks like image processing and computer vision to enhance VF systems. The authors also discuss the integration of IoT devices and sensors to automate and optimize various aspects of VF, including temperature, light, and nutrient management. Key points covered in the article include: - The benefits of VF, such as reduced water and land usage, higher yields, and lower environmental impact. - The challenges of VF, including high energy consumption and the need for careful land use planning. - The role of IoT and AI in improving VF systems, including real-time monitoring, automated adjustments, and predictive analytics. - The performance and evaluation of ML and IoT-based VF systems, including their advantages, limitations, and future potential. The article concludes with a detailed analysis of different types of VF systems, the components and advantages of hydroponics, aeroponics, and aquaponics, and the working principles and performance metrics of ML and IoT technologies. The authors emphasize the importance of integrating these technologies to create more efficient, sustainable, and productive VF systems.The article "Empowering Vertical Farming through IoT and AI-Driven Technologies: A Comprehensive Review" by Ajit Singh Rathor, Sushabhan Choudhury, Abhinav Sharma, Pankaj Nautiyal, and Gautam Shah explores the potential of vertical farming (VF) as a sustainable solution to meet the growing global food demand. The authors highlight the challenges of traditional farming, such as soil degradation, water scarcity, and environmental impacts, and discuss how VF can address these issues through modern technologies like hydroponics, aeroponics, and aquaponics. The article reviews the application of artificial intelligence (AI) and the Internet of Things (IoT) in VF systems, focusing on areas such as disease detection, crop yield prediction, nutrition, and irrigation control. Machine learning (ML) algorithms are used for tasks like image processing and computer vision to enhance VF systems. The authors also discuss the integration of IoT devices and sensors to automate and optimize various aspects of VF, including temperature, light, and nutrient management. Key points covered in the article include: - The benefits of VF, such as reduced water and land usage, higher yields, and lower environmental impact. - The challenges of VF, including high energy consumption and the need for careful land use planning. - The role of IoT and AI in improving VF systems, including real-time monitoring, automated adjustments, and predictive analytics. - The performance and evaluation of ML and IoT-based VF systems, including their advantages, limitations, and future potential. The article concludes with a detailed analysis of different types of VF systems, the components and advantages of hydroponics, aeroponics, and aquaponics, and the working principles and performance metrics of ML and IoT technologies. The authors emphasize the importance of integrating these technologies to create more efficient, sustainable, and productive VF systems.