This is an online, interactive course that contains instructions, multimedia, and assessments where students can learn at their own pace. As an instructor, you can create and edit instances of this course, assign them to students, and view student progress. Learn more. LabVIEW is systems engineering software for applications that require test, measurement, and control with rapid access to hardware and data insights. These labs have related concepts that can expand student experience.
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Download references. The authors deeply appreciate the cooperation of our partners at Huazhong Agricultural University for providing the grain samples.
You can also search for this author in PubMed Google Scholar. Correspondence to Qian Liu. LD developed the software, performed the evaluation experiment, analyzed the data, and drafted the manuscript.
WY designed and built the hardware, performed the evaluation experiment, and contributed in writing the manuscript. CH provided support with hardware development and implementation of the evaluation experiment. QL supervised the study and contributed in writing the manuscript. All of the authors read and approved the final manuscript. Additional file 1:Operating procedure of the facility. A video showing the detailed operating procedure of the SEA facility. MOV 10 MB. Additional file 2:Source code file 1.
The number of total spikelets of the evaluated plant was calculated as the sum of the spikelet numbers in all 14 total-spikelet images. Additional file 3:Source code file 2. Additional file 4:Source code file 3. Additional file 5:Source code file 4. In continuous image acquisition, some grains may exist both in the bottom border of the previous image and in the top border of the subsequent image.
Additional file 6:Source code file 5. Additional file 7:Source code file 6. Additional file 8:Source code file 7. Additional file 9:Source code file 8. Additional file Source code file 9. Additional file Source code file The number of filled spikelets of the evaluated plant was calculated as the sum of the spikelet numbers in all 20 filled-spikelet images.
Reprints and Permissions. Duan, L. A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice.
Plant Methods 7, 44 Download citation. Received : 18 October Accepted : 12 December Published : 12 December Anyone you share the following link with will be able to read this content:.
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Search all BMC articles Search. Download PDF. Abstract The evaluation of yield-related traits is an essential step in rice breeding, genetic research and functional genomics research. Background Rice is the staple food for a large number of countries and regions in the world, particularly in Asia [ 1 ].
Results and Discussion Development of the SEA facility The facility consisted of three major elements: a threshing unit, an inspection unit, and a packing-weighing unit Figure 1.
Figure 1. Full size image. Figure 2. Figure 3. Control flowchart of the instrument. Figure 4. Figure 5. Figure 6. Software interface of the implemented prototype. Table 1 Definition and calculation of manual observations Full size table. Figure 7. Figure 8. Figure 9. Figure Conclusions This paper described an engineering prototype for the automatic evaluation of rice yield traits, including the number of total spikelets, the number of filled spikelets, the grain length, the grain width, and the grain weight.
Methods Image acquisition The control software was designed for evaluating yield traits of one rice plant at a time. Typical grayscale images for a a total-spikelet image and b a filled- spikelet image. Determination of spikelet number in an image. References 1. Article Google Scholar 4. Article Google Scholar 5.
Article Google Scholar 8. Article Google Scholar Article PubMed Google Scholar CAS Google Scholar Acknowledgements The authors deeply appreciate the cooperation of our partners at Huazhong Agricultural University for providing the grain samples. View author publications. Additional information Competing interests The authors declare that they have no competing interests. Authors' contributions LD developed the software, performed the evaluation experiment, analyzed the data, and drafted the manuscript.
Lingfeng Duan, Wanneng Yang contributed equally to this work. Students complete activities that progress from basics in modeling and control to more complex control strategies like hybrid and digital control. Fundamentals of Mechatronic Sensors by Quanser Inc. EN ZH. Students complete activities that progress from the basics in modeling and control to more complex control strategies like hybrid and digital control.
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