2019
DOI: 10.1016/j.promfg.2020.01.330
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Collaborative Control Protocol for Agricultural Cyber-physical System

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Cited by 20 publications
(4 citation statements)
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“…Additionally, in [ 68 ], the importance of augmented reality was investigated as a means of supervising two autonomous tractors in a test field. Finally, three computational studies [ 65 , 67 , 70 ] concentrated on greenhouse stress management and how human–robot synergy can both provide higher efficiency and save time.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, in [ 68 ], the importance of augmented reality was investigated as a means of supervising two autonomous tractors in a test field. Finally, three computational studies [ 65 , 67 , 70 ] concentrated on greenhouse stress management and how human–robot synergy can both provide higher efficiency and save time.…”
Section: Resultsmentioning
confidence: 99%
“…Developments in collaborative robotics provide further opportunities for integration of robotic actuation in precision irrigation. Dusadeerungsikul et al (Dusadeerungsikul et al, 2019) discuss the development of a collaborative control protocol which integrates robotic agents into a smart greenhouse to create a cyber-physical system that includes human and robotic agents. The described system primarily serves a monitoring and detection role with response provided by human operators.…”
Section: Agricultural Robotsmentioning
confidence: 99%
“…The complex sense of touch and force based on piezoelectric film and electronic skin is greatly improving the ability to grasp delicate fruit and vegetable targets accurately and flexibly [161,162] (Figure 14). At the same time, multi-information fusion, cross-media perception, deep learning, agricultural big data, cloud-edge-terminal fusion computing, multi-unit network cooperation, 5G communication and other technologies are promoting agricultural robots to achieve a leap from individually limited autonomous intelligence to unlimited full-process, full-chain, full-unmanned monitoring-working agriculture [163,164] (Figures 15 and 16). Figure 14 Electronic skin [162] Figure 15 Intelligent agricultural monitoring-robotic working [163] Figure 16 Agricultural cyber-physical fusion [164] 4 Development of key agricultural robot technology…”
Section: Perception and Understanding Of Decision-making Techniquesmentioning
confidence: 99%