Auflistung nach Autor:in "Shamshiri, Redmond R."
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- KonferenzbeitragDevelopment and field evaluation of a multichannel LoRa sensor for IoT monitoring in berry orchards(41. GIL-Jahrestagung, Informations- und Kommunikationstechnologie in kritischen Zeiten, 2021) Shamshiri, Redmond R.; Weltzien, CorneliaEvaluation of long-range wireless transceivers with respect to their power consumption, network connectivity, and coverage under extreme field conditions is necessary prior to their deployment in large-scale commercial orchards. This paper reports on the development and field performance of an affordable multi-channel wireless data acquisition for IoT monitoring of environmental variations in berry orchards. A connectivity board was custom-designed based on the powerful dual-core 32-bit microcontroller with WiFi antenna and LoRa modulation at 868 MHz. The objective was to verify the possibility of transmitting multiple sensor readings with lower power consumption while increasing the reliability and stability of wireless communication at long distances (over 1.7 km). Collected data from the wireless sensor was compared and found to be consistent with measurements of a data logger installed in the same locations. The presented paper highlights the advantages of LoRa sensors for digital agriculture and the experience in real-time monitoring of environmental parameters in berry orchards.
- KonferenzbeitragOverview of control systems for robotic harvesting of sweet peppers and apples(43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 2023) Shokrian Zeini, Mostafa; Shamshiri, Redmond R.; Dworak, Volker; Käthner, Jana; Höfner, Nora; Navas, Eduardo; Weltzien, CorneliaAutomated harvesting systems are becoming a crucial part of digital agriculture. Substituting time-consuming and laborious manual harvesting with a continuously automated operation would result in reduced human efforts, which contribute to higher field efficiency. This could be achieved by means of robotic harvesting which comprises robot manipulators, gripping and grasping mechanisms, software implementations. However, the inadequate design of control strategies could cause the agricultural production loss. This paper reviews some of the latest achievements in control systems of agricultural robotics and more specifically in robotic harvesting. The employed robot arms, their degrees of freedom (DOF), and the crops are also considered in this review study. While the control algorithms are being developed with high robustness and fast-response properties, our conclusion is that the performance of controllers could be drastically affected by different parameters such as the number of DOF, estimation accuracy of the robot pose during visual servoing and failure of robot’s inverse kinematics solver.