Knowledge representation and decoupling analysis on failure mechanisms of remotely controlled intelligent machinery-Reference-Cited by-同舟云学术

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Knowledge representation and decoupling analysis on failure mechanisms of remotely controlled intelligent machinery

Published:2022-03 Issue:1 Volume:9 Page:80-89
ISSN:2214-3173
Container-title:Information Processing in Agriculture
language:en
Short-container-title:Information Processing in Agriculture

Author:

Gou Liming,Zhang Jian,Li Naiwen

Funder

National Key Research and Development Program of China

Key Technologies Research and Development Program

Publisher

Elsevier BV

Reference28 articles.

1. Computer vision technology in agricultural automation —a review;Tian;Inform Process Agric,2020

2. Enabling precision agriculture through embedded sensing with artificial intelligence;Shadrin;IEEE Trans Instrum Measur,2019

3. Intelligent tractors: review of online traction control process;Sunusi;Comput Electron Agric,2020

4. Agrinex: a low-cost wireless mesh-based smartirrigation system;Nestor;Measurement,2020

5. Recognition and classification of paddy leaf diseases using optimized deep neural network with Jaya algorithm;Ramesh;Inform Process Agric,2020

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