Crop Row Detection in the Middle and Late Periods of Maize under Sheltering Based on Solid State LiDAR
Abstract
:1. Introduction
2. Materials and Methods
2.1. Point Cloud Information Collection and Preprocessing
2.2. Feature Point Extraction
2.2.1. Horizontal Strips Dividing
2.2.2. Candidate Points Acquisition
2.2.3. Feature Points Determination
2.3. Crop Row Centerlines Detection
3. Results and Discussion
4. Conclusions and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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Growth Period | A/% | T/s |
---|---|---|
Middle period | 95.1% | 0.181 |
Late period | 87.3% | 0.195 |
Growth Period | Algorithm | A/% | T/s |
---|---|---|---|
Middle period | This paper | 95.1% | 0.181 |
Algorithm 1 [33] | 84.7% | 0.196 | |
Algorithm 2 [34] | 85.3% | 0.255 | |
Algorithm 3 [35] | 87.5% | 0.268 | |
Algorithm 4 [31] | 89.6% | 0.260 | |
Late period | This paper | 87.3% | 0.195 |
Algorithm 1 [33] | 80.4% | 0.237 | |
Algorithm 2 [34] | 82.2% | 0.330 | |
Algorithm 3 [35] | 75.5% | 0.412 | |
Algorithm 4 [31] | 70.1% | 0.399 |
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Zhang, S.; Ma, Q.; Cheng, S.; An, D.; Yang, Z.; Ma, B.; Yang, Y. Crop Row Detection in the Middle and Late Periods of Maize under Sheltering Based on Solid State LiDAR. Agriculture 2022, 12, 2011. https://doi.org/10.3390/agriculture12122011
Zhang S, Ma Q, Cheng S, An D, Yang Z, Ma B, Yang Y. Crop Row Detection in the Middle and Late Periods of Maize under Sheltering Based on Solid State LiDAR. Agriculture. 2022; 12(12):2011. https://doi.org/10.3390/agriculture12122011
Chicago/Turabian StyleZhang, Shaolin, Qianglong Ma, Shangkun Cheng, Dong An, Zhenling Yang, Biao Ma, and Yang Yang. 2022. "Crop Row Detection in the Middle and Late Periods of Maize under Sheltering Based on Solid State LiDAR" Agriculture 12, no. 12: 2011. https://doi.org/10.3390/agriculture12122011