AI-Driven Stevia Extract Innovation: RebM Optimization

The original patent disclosed a process for preparing Stevia extracts with high RebM content. However, the limitations of traditional farming practices, manual processing, and static RebM levels in sweetener products hindered widespread adoption. This invention addresses these limitations by introducing machine learning, IoT sensors, CRISPR-Cas9 genome editing, modular processing units, and smart packaging systems.

The new claims introduce a paradigm shift in Stevia rebaudiana cultivation, extraction, and processing by integrating cutting-edge technologies, enabling unprecedented precision, efficiency, and customization. The inventive step lies in the synergistic combination of machine learning, IoT sensors, CRISPR-Cas9 genome editing, modular processing units, and smart packaging systems.

Alternative embodiments may include the use of other machine learning algorithms, different IoT sensor configurations, or alternative genome editing techniques. Variations may also include the application of these innovations to other crops or industries.

The invention has far-reaching commercial potential in the sweetener industry, enabling the creation of premium, customizable Stevia-based products with enhanced RebM content. Target industries include food and beverage manufacturing, pharmaceuticals, and nutraceuticals.