Application of the OpenCV library in indoor hydroponic plantations for automatic height assessment of plants

[1] United Nations, “2030 Agenda for Sustainable Development”, available from: https://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E, accessed: 2022-06-21 Search in Google Scholar

[2] Food and Agriculture Organization of the United Nations, “Farming in urban areas can boost food security”, 2005. Available from: https://reliefweb.int/report/world/farming-urban-areas-can-boost-food-security Search in Google Scholar

[3] Barbosa, Guilherme Lages et al. “Comparison of Land, Water, and Energy Requirements of Lettuce Grown Using Hydroponic vs. Conventional Agricultural Methods”, International journal of environmental research and public health vol. 12, no. 6, 2015, 6879–6891.. DOI: 10.3390/ijerph120606879 Search in Google Scholar

[4] Stefan P. et al. “A comparative cost-effectiveness analysis in different tested aquaponic systems”, Agriculture and Agricultural Science Procedia, vol. 10, 2016, 555–565. DOI: 10.1016/j.aaspro.2016.09.034. Search in Google Scholar

[5] Margaret S. et al. “Building sustainable societies trough vertical soilless farming: A cost-effectiveness analysis on a small-scale non-greenhouse hydroponic system”, Sustainable Cities and Society, vol. 83, 2022, 101882. DOI: 10.1016/j.scs.2022.103923. Search in Google Scholar

[6] A. Malik et al. “A review on the science of growing crops without soil (soilless culture) – a novel alternative for growing crops”, International Journal of Agriculture and Crop Sciences, vol. 7, 2014, 833–842. Search in Google Scholar

[7] X. E. Pantazi et al. “Detection of biotic and abiotic stresses in crops by using hierarchical self-organizing classifiers”, Precision agriculture, vol. 18 no. 3, 2017, 383–393. DOI:10.1007/s11119-017-9507-8. Search in Google Scholar

[8] S. Amatya et al. “Detection of cherry tree branches with full foliage in planar architecture for automated sweet-cherry harvesting”, Biosystems Engineering, vol. 146, 2016, 3–15. DOI: 10.1016/j.biosystemseng.2015.10.003. Search in Google Scholar

[9] M. Ebrahimi et al. “Vision-based pest detection based on SVM classification method”, Computers and Electronics in Agriculture vol. 137, 2017, 52–58 DOI: 10.1016/j.compag.2017.03.016. Search in Google Scholar

[10] X.-E. Pantazi et al. “Active learning system for weed species recognition based on hyperspectral sensing”, Biosystems Engineering, vol. 146, 2016, 193–202. DOI: 10.1016/j.biosystemseng.2016.01.014. Search in Google Scholar

[11] G. L. Grinblat et al. “Deep learning for plant identification using vein morphological patterns”, Computers and Electronics in Agriculture, vol. 127, 2016, 418–424. DOI: 10.1016/j.compag.2016.07.003. Search in Google Scholar

[12] F. M. Westmoreland et al. “Cannabis lighting: Decreasing blue photon fraction increases yield but efficacy is more important for cost effective production of cannabinoids”, PLOS ONE, vol. 16, no. 3, 2021. DOI: 10.1371/journal. pone.0248988 Search in Google Scholar

[13] V. Rodriguez-Morrison, “Cannabis Yield, Potency, and Leaf Photosynthesis Respond Differently to Increasing Light Levels in an Indoor Environment”, Frontiers in Plant Science, vol. 12, 2021. DOI: 10.3389/fpls.2021.646020 Search in Google Scholar

[14] M. W. Jenkins, “Cannabis sativa L. Response to Narrow Bandwidth UV and the Combination of Blue and Red Light during the Final Stages of Flowering on Leaf Level Gas-Exchange Parameters, Secondary Metabolite Production, and Yield”, Agricultural Sciences vol. 12, no. 12, 2021, 1414–1432. DOI: 10.4236/as.2021.1212090 Search in Google Scholar

[15] M. Moher et al. “High Light Intensities Can Be Used to Grow Healthy and Robust Cannabis Plants During the Vegetative Stage of Indoor Production”, Preprints (2021). DOI: 0.20944/preprints202104.0417.v1 Search in Google Scholar

[16] I. Culjak et al. “A brief introduction to OpenCV”, 2012 Proceedings of the 35th International Convention MIPRO, 2012, 1725–1730. Search in Google Scholar

[17] SimpleCV, http://www.simplecv.org, accessed: 2021-02-07. Search in Google Scholar

[18] BoofCV, http://boofcv.org/, accessed: 2021-02-07. Search in Google Scholar

[19] M. Gehan (Dong) et al. “PlantCV v2.0: Image analysis software for high-throughput plant phenotyping”., vol. 5, 2017. DOI: 10.7287/peerj.pre-prints.3225. Search in Google Scholar

[20] M.-T. Pham, T.-J. Cham, “Online learning asymmetric boosted classifiers for object detection”, 2007 IEEE Conference on Computer Vision and Pattern, Minneapolis, USA, 2007, 1–8. DOI: 10.1109/CVPR.2007.383083. Search in Google Scholar

[21] A. K. Hase et al. “Detection, categorization and suggestion to cure infected plants of tomato and grapes by using OpenCV framework for Android environment”, 2017 2nd International Conference for Convergence in Technology (I2CT), 2017, 956–959. DOI: 10.1109/I2CT.2017.8226270. Search in Google Scholar

[22] I. Suryawibawa et al. “Herbs recognition based on android using OpenCV, International Journal of Image, Graphics and Signal Processing”, vol. 7, 2015, 1–7. DOI: 10.5815/ijigsp.2015.02.01. Search in Google Scholar

[23] Y. Chen et al. “Research on pest image processing method based on android thermal infrared lens”, IFAC-PapersOnLine, vol. 51, no. 17, 2018, 173–178.DOI: 10.1016/j.ifacol.2018.08.083. Search in Google Scholar

[24] P. Hu et al. “Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding”, European Journal of Agronomy, vol. 95, 2018, 24–32. DOI: 10.1016/j.eja.2018.02.004 Search in Google Scholar

[25] MA Hassan et al. “Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat”, Plant Methods vol. 15, 2019, 15–37. DOI: 10.1186/s13007-019-0419-7 Search in Google Scholar

[26] B. Franchetti et al. “Vision Based Modeling of Plants Phenotyping in Vertical Farming under Artificial Lighting”, Sensors, vol. 19, 2019. DOI: 10.3390/s19204378 Search in Google Scholar

[27] OpenCV – about, https://opencv.org/about/, accessed: 2021-02-07. Search in Google Scholar