Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Tools and framework for cyber-physical agricultural systems Subject The topic of the resource Agricultural sensors; artificial intelligence (AI); blockchain; cloud computing; crop modeling; cyber-physical systems (CPS); decision support systems; digital twins; drones; edge computing; environmental monitoring; farm management information systems (FMIS); food safety; Internet of Things (IoT); weather forecasting; wireless sensor networks (WSN) Description An account of the resource The development of cyber-physical agricultural systems (CPASs) has created new opportunities for precision farming, sustainable food production, and efficient use of resources. CPAS leverages advanced technologies such as the Internet of Things, artificial intelligence (AI), and machine learning (ML) to collect, analyze, and utilize data to improve farming practices. However, the implementation of CPAS requires the use of various tools and frameworks to ensure seamless integration and communication between different components of the system. One of the key tools for CPAS is sensors. This chapter focuses on key tools for CPAS, such as sensors that can collect data on environmental factors, including temperature, humidity, soil moisture, and nutrient levels, enabling farmers to monitor crop growth and identify issues. The use of drones equipped with cameras and sensors can provide a birds eye view of farmland, allowing farmers to detect issues that are difficult to detect otherwise. Frameworks such as the Open Platform Communication Unified Architecture (OPC-UA) provide a standardized approach to communication between different devices and systems in agricultural systems. OPC-UA enables secure and efficient data exchange between sensors, machines, and other components, enabling the integration of various tools and frameworks within CPAS. This framework ensures that different components of CPAS can communicate seamlessly, leading to more efficient and effective farming practices. Another critical framework for CPAS is the decision support system (DSS). DSS utilizes AI and ML algorithms to analyze data from various sources and provide recommendations to farmers. For example, DSS can provide guidance on crop selection, planting dates, irrigation schedules, and pest management. This framework can assist farmers in making informed decisions that can increase yield, reduce waste, and improve sustainability. 2024 Elsevier Inc. All rights reserved. Creator An entity primarily responsible for making the resource Mohiddin S.K.; Sharmila S.; Sharma V. Source A related resource from which the described resource is derived Agri 4.0 and the Future of Cyber-Physical Agricultural Systems, pp. 37-53. Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-443-13185-1.00003-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-13185-1.00003-4</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198494518&amp;doi=10.1016%2FB978-0-443-13185-1.00003-4&amp;partnerID=40&amp;md5=ab7b74495ca8bf52443fbd4eb7a4c5bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198494518&amp;doi=10.1016%2fB978-0-443-13185-1.00003-4&amp;partnerID=40&amp;md5=ab7b74495ca8bf52443fbd4eb7a4c5bb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-044313185-1; 978-044313186-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mohiddin S.K., Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, Guntur, India; Sharmila S., Department of IT, VNITSW, Andhra Pradesh, Guntur, India; Sharma V., Department of Computational Sciences, Christ University, Delhi NCR Campus, India