Results 211 to 220 of about 3,305 (247)

Next-Generation Harvester Technologies: Synergizing Smart Grading and Biomechanical Damage Control in Mechanized Tomato Production. [PDF]

Sensors (Basel)
Jing J, Chen Y, Zhao P, Li B, Wang S, Liu Y, Tang Z.   +6 more
europepmc   +1 more source

An Autonomous Operation Path Planning Method for Wheat Planter Based on Improved Particle Swarm Algorithm. [PDF]

Sensors (Basel)
Du S, Zhao Y, Tian Y, Zhang T.
europepmc   +1 more source

An Overview of <i>Aegilops tauschii</i>-Associated Wheat Damage and Generic Resources. [PDF]

Plants (Basel)
Yuan L, Geng Y, Wang C, Cui Y, Dong X, Su Z, Wang L.   +6 more
europepmc   +1 more source

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Development and Application of Intelligent Agricultural Machinery—A Review

2022 7th International Conference on Big Data Analytics (ICBDA), 2022
Jiming Sa, Zhuoer Wang
exaly   +2 more sources

Intelligent vibration detection and control system of agricultural machinery engine

Measurement: Journal of the International Measurement Confederation, 2019
Abstract Vibration of agricultural machinery not only affects the quality and effect of the operation, but also reduces the service life of machinery. A vibration detection and control system based on intelligent sensor nodes was developed to detect and control the frame vibration caused by high-power engine in agricultural machinery.
Jiangtao Ji
exaly   +2 more sources

Research on Automatic Auxiliary System of Intelligent Agricultural Machinery

2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS), 2023
Yaoyao Wang, Jun Wang, Suchang Ma, Xiang Jiao, Haifeng Wang, Wenying Pu   +5 more
exaly   +2 more sources

An adaptive immune-following algorithm for intelligent optimal schedule of multiregional agricultural machinery

International Journal of Intelligent Systems, 2022
Xiongtao Zhang, Huifeng Wu
exaly   +2 more sources

Adaptive scheduling of agricultural machinery equipment production lines for intelligent manufacturing

International Journal of Manufacturing Technology and Management, 2023
exaly   +2 more sources

Development of an Intelligent Monitoring System for Agricultural Machinery

2019 3rd International Conference on Robotics and Automation Sciences (ICRAS), 2019
In order to monitor the working states and working environment of agricultural machinery in real time, an intelligent monitoring system based on I.MX6 is developed in this paper. Through USB, CAN and RS485, the environment videos, positions and working states of agricultural machinery are collected.
Yu Fei, Ying Zhuang, Xiang Liu, Qichun Zhao, Gonglei Liao, Qiang Fu   +5 more
exaly   +2 more sources