Chloros Inc. Launches "BerryCast," an AI-Powered Strawberry Growth Forecasting Service, in January 2026

Product Overview: BerryCast

BerryCast uses smartphone-recorded video of strawberry benches or rows and applies proprietary computer vision models to:

• Detect and count strawberries by maturity stage
• Forecast future crop growth based on temperature-driven growth models
• Support harvest planning, labor allocation, and operational decision-making

The service is designed for real-world farm deployment, requiring no specialized hardware beyond a smartphone.

Chloros is currently developing a peak harvest timing prediction feature at the bench/row level, which will be released as a beta feature during the 2026 season.

For a detailed product overview, visit: https://chloros.ai/en/solutions/berrycast

Proven Field Adoption

BerryCast has already been used across multiple production environments, including:

• Commercial strawberry growers in greenhouse cultivation
• Tourist farms requiring precise harvest and visitor planning

Growers reported improved yield stability and operational efficiency through earlier and more reliable harvest scheduling.

Beta Program for Peak Harvest Prediction

To accelerate model accuracy and scalability, Chloros is recruiting monitor users for the beta release of its peak harvest timing prediction feature.

Participants will:

• Use the beta feature during the 2026 season
• Provide actual harvest outcome data
• Receive 50% discounted pricing in return

This program enables rapid model refinement while maintaining strong alignment with on-farm realities.

Pricing and Go-To-Market

BerryCast follows a subscription-based SaaS model, with scalability driven by software-only deployment and recurring seasonal use.

Strategic Context

Accurate forecasting of harvest timing and volume remains a structural challenge in specialty crop production due to climate variability and biological uncertainty. As labor shortages intensify and production becomes increasingly data-driven, growers require field-ready decision support tools rather than experimental analytics.

Chloros positions BerryCast as a practical visual intelligence layer for crop production, bridging AI research and real-world agricultural operations.

About Chloros Inc.

Chloros Inc. is an AgTech startup focused on visual intelligence for crop production. The company develops computer vision systems and sensing technologies to support breeding, input evaluation, and precision agriculture.

Operating under the mission "Visual Intelligence for Crop Evolution," Chloros aims to accelerate agricultural R&D and improve on-farm decision-making through scalable, field-deployable AI systems.