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Preventing Mold & Fungus In Cannabis With Data Analytics

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Cannabis legalization has taken the United States by storm, with 33 states approved for medicinal cannabis use — 11 of which are also approved for recreational use for adults aged 21 and over. With new patients and consumers entering the market every day, it’s more important than ever for cannabis cultivators to establish more effective methods for mold and fungal prevention in their crops and to ensure consumer confidence in their brands.

Today, many cultivators address the risk of mold and fungus growth by testing crops for contaminants at the end stage of production. While this helps to catch some infected product before it reaches the market, this method is largely ineffective for mold and fungal prevention during the cultivation process. In fact, recent studies have shown an 80% failure rate in mold and fungal testing in Denver cannabis dispensaries. By relying on late-stage, pass/fail testing, cannabis entrepreneurs also expose themselves to increased risk of lost crops and profits.

Photo credit: Steep Hill- a petri dish of mold growth from tested cannabis However, emerging sensor technologies exist that can test plants during the grow process, significantly reducing the risks associated with cannabis cultivation while increasing the bottom line for commercial grow operations. By leveraging data from these monitoring sensors along with environmental automation systems that are integrated with data analytics platforms, cannabis professionals can take a proactive approach to achieve the ideal environmental conditions for their crops and prevent against mold and fungal infestation.

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Source: https://cannabisindustryjournal.com/feature_article/preventing-mold-fungus-in-cannabis-with-data-analytics/

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