Rice Lodging Mapping Generated by Lidar and Gnss for Robot Combine

Author:

Iida Michihisa,Chen Sikai,Cheng Shijing,Iwahashi Yu,Okamoto Satoshi,Zhu Jiajun,Suguri Masahiko,Masuda Ryohei

Publisher

Elsevier BV

Reference22 articles.

1. Estimating yield-related traits using UAV-derived multispectral images to improve rice grain yield prediction;M V Bascon;Agriculture,2022

2. Detection of Lodging Rice Areas in Rice Fields by Semantic Segmentation via a Fisheye-lens Camera;S Chen;Journal of JSAM,2023

3. Real-time avoidance strategy of dynamic obstacles via half model-free detection and tracking with 2d lidar for mobile robots;H Dong;IEEE/ASME transactions on mechatronics,2020

4. Obstacle detection and avoidance algorithm for autonomous mobile robot using 2D LiDAR;D Ghorpade;2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA),2017

5. Automatic travelling of agricultural support robot for a fruit farm. Verification of effectiveness of real-time kinematic-global navigation satellite system and developed a simulator for specification design;R Hiraoka;Journal of Agricultural Engineering,2023

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