Acknowledgement
This study was carried out with the support of "Research Program for Agricultural Science & Technology Development (Project No. PJ0162342023)", National Academy of Agricultural Science, Rural Development Administration, Republic of Korea.
References
- Agroberichten Buitenland. Greenhouse in South Korea. 2023. https://www.agroberichtenbuitenland.nl/actueel/nieuws/2021/08/03/greenhouse-in-south-korea(Accessed August 9,
- Britannica. greenhouse. 2023. https://www.britannica.com/topic/greenhouse(Accessed August 9,
- Choung, Y.J. 2015. A Study on Extraction of Croplands Located nearby Coastal Areas Using High-Resolution Satellite Imagery and LiDAR Data. Journal of the Korean Association of Geographic Information Studies, 18(1):170-181. https://doi.org/10.11108/kagis.2015.18.1.170
- Datahunt. YOLO Object Detection, Object Recognition - Concept, Principle, Reasons to Pay Attention, Use Case. https://www.thedatahunt.com/trend-insight/guide-for-yolo-object-detection#yolo-wonri---yolo-algorijeum-jakdong-bangsik-sayong-bangbeop(Accessed August 9,
- Ham, G.W., Lee, J.M.., Bae, K.H. and Park, H.G. 2019. A Study on Agricultural Drought Monitoring using Drone Thermal and Hyperspectral Sensor. Journal of the Korean Association of Geographic Information Studies, 22(3):107-119.
- Lee, G.S. and Choi, Y.W. 2019. Analysis of Cropland Spectral Properties and Vegetation Index Using UAV. Journal of the Korean Association of Geographic Information Studies, 22(4):86-101.
- NIP Group. Why Location and Orientation of Your Greenhouse Matter. https://nipgroup.com/greenhouse-location-orientation/ (Accessed August 9, 2023).
- Prospiant. Common Greenhouse Structure. https://www.prospiant.com/complete-guide-to-greenhouse-structures/ (Accessed August 9, 2023).
- Redmon, J., Divvala, S., Girshick, R. and Farhadi, A. 2016. You Only Look Once: Unified, Real-Time Object Detection. Proceedings in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 27-30 June 2016, 779-788.
- ScienceDirect. Greenhouse Cultivation. 2023. https://www.sciencedirect.com/topics/earth-and-planetary-sciences/greenhouse-cultivation (Accessed August 9, 2023).
- SentinelHub. Planetscope. https://docs.sentinel-hub.com/api/latest/data/planet/planet-scope/ (Accessed August 9, 2023).
- Sun, H., Wang, W., Lin, R., Zhang, Z. and Zhang, B. 2021. Mapping Plastic Greenhouses with Two-Temporal Sentinel-2 Images and 1D-CNN Deep Learning. Remote Sensing, 13(14):2820.
- V7. YOLO: Algorithm for Object Detection Explained [+Examples]. https://www.v7labs.com/blog/yolo-object-detection (Accessed August 9, 2023)
- Wu, X., Sahoo, D. and Hoi, S.C.H. 2020. Recent advances in deep learning for object detection. Neurocomputing, 396(5):39-64. https://doi.org/10.1016/j.neucom.2020.01.085
- Yoon, B., Seong, S. and Choi, J. 2023a. Detection of Plastic Greenhouses by Using Deep Learning Model for Aerial Orthoimages. Korean Journal of Remote Sensing, 39 (2):183-192. https://doi.org/10.7780/KJRS.2023.39.2.5
- Yoon, B.H., Jang, A.., Seong, S.K.. and Choi, J.W. 2023b. Analysis of Agricultural Plastic Greenhouses Detection Results Based on the Seasonal Characteristics of Satellite Imagery. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 41(2):127-134.