A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis Cultivation
The limited availability of peer-reviewed scientific evidence in the cannabis industry has led many companies to rely on techniques derived from non-peer-reviewed sources for their practices. This study begins by examining the literature on the cultivation of <italic>C. sativa</italic>,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10149009/ |
| _version_ | 1797796565417459712 |
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| author | Michael Vernon Abbas Z. Kouzani Lawrence D. Webb Scott D Adams |
| author_facet | Michael Vernon Abbas Z. Kouzani Lawrence D. Webb Scott D Adams |
| author_sort | Michael Vernon |
| collection | DOAJ |
| description | The limited availability of peer-reviewed scientific evidence in the cannabis industry has led many companies to rely on techniques derived from non-peer-reviewed sources for their practices. This study begins by examining the literature on the cultivation of <italic>C. sativa</italic>, investigating optimal conditions and their effects on growth, and characterising the requirements for greenhouse monitoring and control. A systematic review of current technological approaches is then conducted. The review demonstrates that technology-based control of greenhouse environments has the potential to surpass manual or traditional rule-based management techniques by reducing costs and increasing yields. However, the adoption of these technologies is impeded by the lack of publicly available labelled data on growth, pest and disease, environmental, and yield data of multiple indoor cultivation cycles. Currently, much of the research in this field is conducted privately by companies in the cannabis industry. This study recognises substantial gaps in research surrounding <italic>C. sativa</italic> cultivation and emphasises the opportunity for new research to address the absence of available <italic>C. sativa</italic> datasets and peer-reviewed scientific studies outside of private endeavours. |
| first_indexed | 2024-03-13T03:34:57Z |
| format | Article |
| id | doaj.art-eebe7d5dbff64619a8945ddab21d75a3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T03:34:57Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-eebe7d5dbff64619a8945ddab21d75a32023-06-23T23:00:53ZengIEEEIEEE Access2169-35362023-01-0111620776209010.1109/ACCESS.2023.328524210149009A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis CultivationMichael Vernon0https://orcid.org/0000-0003-3623-7694Abbas Z. Kouzani1https://orcid.org/0000-0002-6292-1214Lawrence D. Webb2https://orcid.org/0000-0003-3668-366XScott D Adams3https://orcid.org/0000-0001-6466-0444School of Engineering, Deakin University, Geelong, VIC, AustraliaSchool of Engineering, Deakin University, Geelong, VIC, AustraliaSchool of Life and Environmental Sciences, Deakin University, Geelong, VIC, AustraliaSchool of Engineering, Deakin University, Geelong, VIC, AustraliaThe limited availability of peer-reviewed scientific evidence in the cannabis industry has led many companies to rely on techniques derived from non-peer-reviewed sources for their practices. This study begins by examining the literature on the cultivation of <italic>C. sativa</italic>, investigating optimal conditions and their effects on growth, and characterising the requirements for greenhouse monitoring and control. A systematic review of current technological approaches is then conducted. The review demonstrates that technology-based control of greenhouse environments has the potential to surpass manual or traditional rule-based management techniques by reducing costs and increasing yields. However, the adoption of these technologies is impeded by the lack of publicly available labelled data on growth, pest and disease, environmental, and yield data of multiple indoor cultivation cycles. Currently, much of the research in this field is conducted privately by companies in the cannabis industry. This study recognises substantial gaps in research surrounding <italic>C. sativa</italic> cultivation and emphasises the opportunity for new research to address the absence of available <italic>C. sativa</italic> datasets and peer-reviewed scientific studies outside of private endeavours.https://ieeexplore.ieee.org/document/10149009/AIoTartificial intelligence (AI)greenhouse cultivationcannabispest and disease detection |
| spellingShingle | Michael Vernon Abbas Z. Kouzani Lawrence D. Webb Scott D Adams A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis Cultivation IEEE Access AIoT artificial intelligence (AI) greenhouse cultivation cannabis pest and disease detection |
| title | A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis Cultivation |
| title_full | A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis Cultivation |
| title_fullStr | A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis Cultivation |
| title_full_unstemmed | A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis Cultivation |
| title_short | A Survey of Modern Greenhouse Technologies and Practices for Commercial Cannabis Cultivation |
| title_sort | survey of modern greenhouse technologies and practices for commercial cannabis cultivation |
| topic | AIoT artificial intelligence (AI) greenhouse cultivation cannabis pest and disease detection |
| url | https://ieeexplore.ieee.org/document/10149009/ |
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