New Developments of IT, IoT and ICT Applied to Agriculture: Proceedings of ICAIT 2019

The book "Proceedings of the First International Conference on Agriculture and Information (ICAIT2019)" covers new research results from scholars working on agriculture and information technologies, including smart agriculture, intelligent information systems, web-based systems, ICT-based marketing, and IoT.

Format: Paperback / softback
Length: 250 pages
Publication date: 29 August 2021
Publisher: Springer Verlag, Singapore

The proceedings of the First International Conference on Agriculture and Information (ICAIT2019), organized by IRNet International Academic Communication Center, were recently published. This comprehensive book encompasses the latest research findings presented by scholars from the conference, which took place from November 22 to 24, 2019.

The book features contributions from active researchers who are at the forefront of exploring the intersection of agriculture and various information technologies, including ICT (Information and Communication Technologies). These technologies play a crucial role in various aspects of agriculture, such as the cultivation, processing, preservation, and distribution of agricultural products.

The book's primary focus lies in the theoretical, design, development, testing, and evaluation of information technologies applicable to diverse aspects of agriculture and its infrastructure. The topics covered in this publication are wide-ranging and include:

Information technologies for smart agriculture: This encompasses the application of ICT to enhance the efficiency, productivity, and sustainability of agricultural practices. It includes concepts such as precision agriculture, crop monitoring, irrigation management, and livestock management through the use of sensors, drones, and other advanced technologies.

Intelligent information systems for smart farm systems: This focuses on developing intelligent systems that optimize farm operations and improve decision-making processes. These systems integrate data from various sources, such as sensors, weather forecasts, and market trends, to provide farmers with real-time insights and recommendations for optimal crop yields and resource utilization.

Web-based intelligent information systems on agriculture: This explores the use of web technologies to provide farmers with access to information, resources, and services related to agriculture. It includes online platforms, mobile applications, and interactive websites that facilitate knowledge sharing, training, and collaboration among farmers and agricultural professionals.

ICT-based marketing of agricultural products: This examines the use of ICT to promote and sell agricultural products to consumers. It includes digital marketing strategies, e-commerce platforms, and social media campaigns that help farmers reach a wider audience and increase their market share.

Agricultural product consumption network systems: This explores the development of networks and systems that facilitate the efficient distribution and consumption of agricultural products. It includes logistics, transportation, and inventory management systems that optimize the flow of goods from producers to consumers.

IoT for agricultural produce and products: This focuses on the Internet of Things (IoT) technology's application in agriculture. It includes the use of IoT sensors, devices, and networks to monitor and manage agricultural produce and products throughout the supply chain, from farm to fork.

Soft computing theories: This discusses the use of soft computing techniques, such as artificial intelligence, machine learning, and fuzzy logic, in agriculture. These techniques are particularly useful in addressing complex problems and optimizing decision-making processes in agriculture.

Intelligent management for agriculture: This explores the application of intelligent management systems in agriculture. It includes the use of data analytics, big data, and cloud computing to improve the efficiency, productivity, and sustainability of agricultural operations.

Data science techniques for agriculture: This explores the use of data science and statistical analysis to improve the understanding of agricultural systems and inform decision-making processes. It includes techniques such as data mining, machine learning, and predictive modeling that help farmers analyze large amounts of data and make informed decisions.

Overall, the proceedings of the First International Conference on Agriculture and Information (ICAIT2019) provide a valuable resource for researchers, policymakers, and practitioners in the field of agriculture and information technology. The contributions showcased in this book highlight the ongoing efforts to harness the potential of ICT to transform agriculture and drive sustainable development in the global food system.

Weight: 415g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811550751
Edition number: 1st ed. 2021