Applications of LiDAR in Agriculture and Future Research Directions
Light detection and ranging (LiDAR) sensors have accrued an ever-increasing presence in the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors emit pulsed light waves that return to the sensor upon bouncing off surrounding objects. The distances that the pulses tr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/9/3/57 |
| _version_ | 1797610962985943040 |
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| author | Sourabhi Debnath Manoranjan Paul Tanmoy Debnath |
| author_facet | Sourabhi Debnath Manoranjan Paul Tanmoy Debnath |
| author_sort | Sourabhi Debnath |
| collection | DOAJ |
| description | Light detection and ranging (LiDAR) sensors have accrued an ever-increasing presence in the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors emit pulsed light waves that return to the sensor upon bouncing off surrounding objects. The distances that the pulses travel are calculated by measuring the time for all pulses to return to the source. There are many reported applications of the data obtained from LiDAR in agricultural sectors. LiDAR sensors are widely used to measure agricultural landscaping and topography and the structural characteristics of trees such as leaf area index and canopy volume; they are also used for crop biomass estimation, phenotype characterisation, crop growth, etc. A LiDAR-based system and LiDAR data can also be used to measure spray drift and detect soil properties. It has also been proposed in the literature that crop damage detection and yield prediction can also be obtained with LiDAR data. This review focuses on different LiDAR-based system applications and data obtained from LiDAR in agricultural sectors. Comparisons of aspects of LiDAR data in different agricultural applications are also provided. Furthermore, future research directions based on this emerging technology are also presented in this review. |
| first_indexed | 2024-03-11T06:21:20Z |
| format | Article |
| id | doaj.art-984bb0fdc09f4f119eba509c793a56ac |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-11T06:21:20Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-984bb0fdc09f4f119eba509c793a56ac2023-11-17T11:55:06ZengMDPI AGJournal of Imaging2313-433X2023-02-01935710.3390/jimaging9030057Applications of LiDAR in Agriculture and Future Research DirectionsSourabhi Debnath0Manoranjan Paul1Tanmoy Debnath2School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, AustraliaSchool of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, AustraliaSchool of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, AustraliaLight detection and ranging (LiDAR) sensors have accrued an ever-increasing presence in the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors emit pulsed light waves that return to the sensor upon bouncing off surrounding objects. The distances that the pulses travel are calculated by measuring the time for all pulses to return to the source. There are many reported applications of the data obtained from LiDAR in agricultural sectors. LiDAR sensors are widely used to measure agricultural landscaping and topography and the structural characteristics of trees such as leaf area index and canopy volume; they are also used for crop biomass estimation, phenotype characterisation, crop growth, etc. A LiDAR-based system and LiDAR data can also be used to measure spray drift and detect soil properties. It has also been proposed in the literature that crop damage detection and yield prediction can also be obtained with LiDAR data. This review focuses on different LiDAR-based system applications and data obtained from LiDAR in agricultural sectors. Comparisons of aspects of LiDAR data in different agricultural applications are also provided. Furthermore, future research directions based on this emerging technology are also presented in this review.https://www.mdpi.com/2313-433X/9/3/57LiDARagriculturecanopy volumebiomassphenotype |
| spellingShingle | Sourabhi Debnath Manoranjan Paul Tanmoy Debnath Applications of LiDAR in Agriculture and Future Research Directions Journal of Imaging LiDAR agriculture canopy volume biomass phenotype |
| title | Applications of LiDAR in Agriculture and Future Research Directions |
| title_full | Applications of LiDAR in Agriculture and Future Research Directions |
| title_fullStr | Applications of LiDAR in Agriculture and Future Research Directions |
| title_full_unstemmed | Applications of LiDAR in Agriculture and Future Research Directions |
| title_short | Applications of LiDAR in Agriculture and Future Research Directions |
| title_sort | applications of lidar in agriculture and future research directions |
| topic | LiDAR agriculture canopy volume biomass phenotype |
| url | https://www.mdpi.com/2313-433X/9/3/57 |
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