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Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.
"Investment in agriculture are the best weapons against hunger and poverty, and they have made life better for billions of people."Agricultural Informatics is the Science of agricultural Information, Engineering of Agricultural Information Systems, and agricultural Information Processing. The Agricultural Informatics domain deals with ICT Innovation in Agriculture, Food, and the Environment.Agro informatics covers diverse areas ranging from artificial intelligence, artificial neural networks, decision support systems, expert systems, geographic information systems, information systems related to agriculture, genetic algorithm, a programming language with backend tools to develop software. Ag...
"Agricultural Informatics: Technology in Farming" delves into the science and engineering of agricultural information systems, emphasizing ICT innovation in agriculture, food, and the environment. We cover diverse areas like artificial intelligence, neural networks, decision support systems, expert systems, geographic information systems, and genetic algorithms. Agro informatics can be applied in various regions, from watersheds and arid areas to normal climates, using different management techniques. In agroforestry, we explore the integration of trees, crops, and sometimes animals. This book also examines case studies of traditional agroforestry and its role in addressing climate change. Designed for readers interested in agriculture and technology, our book offers a comprehensive overview of agro informatics, management strategies, and the technologies transforming agriculture.
This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.
This two-volume set constitutes selected papers presented during the First International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, held in Silchar, India, in March 2023. The 20 full papers and 27 short papers presented were thoroughly reviewed and selected from 110 submissions. They cover the following topics: artificial intelligence, machine learning, natural language processing, image processing, data science, soft computing techniques, computer networks and security, computer architecture and algorithms.
This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Featu...
This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and supp...
In recent years, the role of information and communications technologies in the development of agriculture and environmental issues has received significant attention in different types of international forums. With new technologies constantly developing, there is a need for research dedicated to technological progress. Innovations and Trends in Environmental and Agricultural Informatics provides emerging research on the design, development, and implementation of complex agricultural and environmental information systems, addressing the integration of several scientific domains including agronomy, mathematics, economics, and computer science. While highlighting topics such as image quality assessment, environmental policy, and supervised classification, this publication explores the applications and progress of various technologies within agricultural and environmental professions. This book is an important resource for researchers, professionals, academics, students, and scientists seeking current research on the rapidly evolving field of technology integration in agricultural production and environmental issues.
Agro-informatics is the application in agriculture with innovative ideas, techniques and scientific knowledge to expand the horizons of the Computer Science. The book contains the details about the information technology applied to management and analysis of agricultural data The book covers the diverse areas ranging from artificial intelligence, artificial neural networks, decision support system, expert system, geographic information system, information system related to agriculture, genetic algorithm, programming language with backend tool to develop softwares The book contains fifteen chapters that highlight and discuss the various dimensions of agro-informatics. It is hoped that the boo...
"This book examines the design, development, and implementation of complex agricultural and environmental information systems to quickly process and access environmental data in order to make informed decisions for the protection of the environment"--