TY - CHAP
T1 - Smart action
AU - Dusadeerungsikul, Puwadol Oak
AU - Liakos, Vasileios
AU - Morari, Francesco
AU - Nof, Shimon Y.
AU - Bechar, Avital
N1 - Funding Information:
The research presented here is supported by PRISM Center for Production, Robotics and Integration Software for Manufacturing & Management at Purdue University. In addition, the research on ARS (the Agricultural Robotic System) has been supported by BARD project grant#IS-4886-16R, Development of a Robotic Inspection System for Early Identification and Locating of Biotic and Abiotic Stresses in Greenhouse Crops with Co-PIs A. Bechar (Agricultural Research Organization, Israel); Y. Tao (University of Maryland); and S.Y. Nof (PRISM Center, Purdue University).
Publisher Copyright:
© 2020 Elsevier Inc. All rights reserved.
PY - 2020/1/14
Y1 - 2020/1/14
N2 - In this chapter, the smart actions for precision agriculture (PA) are presented. With smart actions, resources such as irrigation, fertilizer, pesticides and available time are utilized effectively. The decision support system for smart actions presented in this chapter will support farmers to properly perform agricultural tasks and yield with minimal waste and minimal environmental impacts, better agricultural outputs and outcomes. The chapter is divided into two parts: (Section 5.1) Implementation of Variable Rate Application (VRA) and (Section 5.2) Smart Collaborative Robotics and Cyber-Physical System (CPS) for Smart Precision. In the first one (Section 5.1), the VRA is discussed. The VRA helps to reduce waste from over/underapplication of agricultural input resources by implementing precision application technologies. With VRA, once the status of plants is known, the precision crop need-based actions can be taken properly in real time. For the second part (Section 5.2), Collaborative Control Protocols for Robotics and CPS (CCP-CPS) are presented. The protocols have the objective of synchronizing system agents so that the agents will collaboratively perform agricultural tasks both globally and locally, such as monitoring the status of plants in a greenhouse. The cyber-supported collaboration among agents can enable the system to most effectively utilize available resources. Lastly, smart actions will improve the overall agricultural system performance and will drive us closer to the PA and smart farming, by applying the right amount of resources in the right time at the right place.
AB - In this chapter, the smart actions for precision agriculture (PA) are presented. With smart actions, resources such as irrigation, fertilizer, pesticides and available time are utilized effectively. The decision support system for smart actions presented in this chapter will support farmers to properly perform agricultural tasks and yield with minimal waste and minimal environmental impacts, better agricultural outputs and outcomes. The chapter is divided into two parts: (Section 5.1) Implementation of Variable Rate Application (VRA) and (Section 5.2) Smart Collaborative Robotics and Cyber-Physical System (CPS) for Smart Precision. In the first one (Section 5.1), the VRA is discussed. The VRA helps to reduce waste from over/underapplication of agricultural input resources by implementing precision application technologies. With VRA, once the status of plants is known, the precision crop need-based actions can be taken properly in real time. For the second part (Section 5.2), Collaborative Control Protocols for Robotics and CPS (CCP-CPS) are presented. The protocols have the objective of synchronizing system agents so that the agents will collaboratively perform agricultural tasks both globally and locally, such as monitoring the status of plants in a greenhouse. The cyber-supported collaboration among agents can enable the system to most effectively utilize available resources. Lastly, smart actions will improve the overall agricultural system performance and will drive us closer to the PA and smart farming, by applying the right amount of resources in the right time at the right place.
KW - Adaptive search algorithm
KW - Agricultural cyber-physical system (CPS)
KW - Collaborative control protocol
KW - Collaborative control theory (CCT)
KW - Greenhouse
KW - Prescription map
KW - Sensors
KW - Site specific
UR - http://www.scopus.com/inward/record.url?scp=85090147323&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-818373-1.00005-6
DO - 10.1016/B978-0-12-818373-1.00005-6
M3 - Chapter
AN - SCOPUS:85090147323
SN - 9780128182356
SP - 225
EP - 277
BT - Agricultural Internet of Things and Decision Support for Precision Smart Farming
PB - Elsevier Inc.
ER -
