Food is a necessary aspect of human life, and agriculture is crucial to any country's global economy. Because the food business is essential to both a country's economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.

Smart village infrastructure and Industry 5.0 attempt to improve internet connectivity in rural and remote locations by delivering broadband infrastructure. Smart village is a locally led, integrated, and holistic approach to giving all people of rural communities access to digital services, with digital technology development-related services for everyone. Smart Village Infrastructure and Sustainable Rural Communities presents state-of-the-art and innovative ideas on empowering rural communities through the concepts of smart village and Industry 5.0 from experts in the domain of agriculture process improvement, sustainability, irrigation systems, and more. Covering topics such as rural development, machine learning applications, and agriculture analysis, this premier reference source is a dynamic resource for engineers, agronomists, computer scientists, government officials, public health officials, students and educators of higher education, librarians, researchers, and academicians.

The field of SMART technologies is an interdependent discipline. It involves the latest burning issues ranging from machine learning, cloud computing, optimisations, modelling techniques, Internet of Things, data analytics, and Smart Grids among others, that are all new fields. It is an applied and multi-disciplinary subject with a focus on Specific, Measurable, Achievable, Realistic & Timely system operations combined with Machine intelligence & Real-Time computing. It is not possible for any one person to comprehensively cover all aspects relevant to SMART Computing in a limited-extent work. Therefore, these conference proceedings address various issues through the deliberations by distinguished Professors and researchers. The SMARTCOM 2020 proceedings contain tracks dedicated to different areas of smart technologies such as Smart System and Future Internet, Machine Intelligence and Data Science, Real-Time and VLSI Systems, Communication and Automation Systems. The proceedings can be used as an advanced reference for research and for courses in smart technologies taught at graduate level.

Smart village infrastructure and Industry 5.0 attempt to improve internet connectivity in rural and remote locations by delivering broadband infrastructure. Smart village is a locally led, integrated, and holistic approach to giving all people of rural communities access to digital services, with digital technology development-related services for everyone. Smart Village Infrastructure and Sustainable Rural Communities presents state-of-the-art and innovative ideas on empowering rural communities through the concepts of smart village and Industry 5.0 from experts in the domain of agriculture process improvement, sustainability, irrigation systems, and more. Covering topics such as rural development, machine learning applications, and agriculture analysis, this premier reference source is a dynamic resource for engineers, agronomists, computer scientists, government officials, public health officials, students and educators of higher education, librarians, researchers, and academicians.

Food is a necessary aspect of human life, and agriculture is crucial to any country's global economy. Because the food business is essential to both a country's economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.