Sensing Technologies for Grain Crop Yield Monitoring Systems: A Review-Reference-Cited by-同舟云学术

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Sensing Technologies for Grain Crop Yield Monitoring Systems: A Review

Published:2016-12-01 Issue:4 Volume:41 Page:408-417
ISSN:1738-1266
Container-title:Journal of Biosystems Engineering
language:en
Short-container-title:Journal of Biosystems Engineering

Author:

Chung Sun-Ok,Choi Moon-Chan,Lee Kyu-Ho,Kim Yong-Joo,Hong Soon-Jung,Li Minzan

Publisher

Korean Society for Agricultural Machinery

Subject

Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Agricultural and Biological Sciences (miscellaneous)

Link

http://ocean.kisti.re.kr/downfile/crosscheck/ksagm/JAKO201608259727825.pdf

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence Assisted Unmanned Aerial Vehicle for Sustainable Smart Farm Health Security Management System;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

2. A new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications;Precision Agriculture;2024-04-28

3. GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping;Computers and Electronics in Agriculture;2024-02

4. Sustainable Agriculture Practices: AI and IoT's Vital Contribution;E3S Web of Conferences;2024

5. Impact of Advanced Sensing Technologies in Agriculture with Soil, Crop, Climate and Farmland-Based Approaches Using Internet of Things;Studies in Computational Intelligence;2024

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