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Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks.

, , , , and . Comput. Electron. Agric., (2021)

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Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks., , , , and . Comput. Electron. Agric., (2021)On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system., , , , , , and . Comput. Electron. Agric., (2017)Non-contact resistance measurement of transparent electrodes deposited on flexible display substrates under repetitive bending test by terahertz time domain spectroscopy., , , , and . Displays, (2016)Calibration System for Zener Voltage Standards Using a 10 V Programmable Josephson Voltage Standard at NMIJ., , , , , and . IEEE Trans. Instrumentation and Measurement, 64 (6): 1606-1612 (2015)Uncertainty Evaluation of a 10 V RMS Sampling Measurement System Using the AC Programmable Josephson Voltage Standard., , , and . IEEE Trans. Instrumentation and Measurement, 64 (12): 3308-3314 (2015)Localizing plucking points of tea leaves using deep convolutional neural networks., and . Comput. Electron. Agric., (2020)Design of an basis-projected layer for sparse datasets in deep learning training using gc-ms spectra as a case study., and . CoRR, (2024)A Collaborative Robot for Tea Harvesting with Adjustable Autonomy., , , , , and . Cybern. Syst., 53 (1): 4-22 (2022)Identifying tomato leaf diseases under real field conditions using convolutional neural networks and a chatbot., , , , , , , and . Comput. Electron. Agric., (2022)Low-cost logarithmic CMOS image sensing by nonlinear analog-to-digital conversion., , , and . IEEE Trans. Consumer Electronics, 51 (4): 1212-1217 (2005)