GAMAYA
Artificial Intelligence for Sugarcane Farming
Description
GAMAYA offers a specialized platform leveraging artificial intelligence, remote sensing, and agronomic modeling tailored for the sugarcane industry. It aims to optimize every stage of production, from planting through harvest, driving operational efficiency and profitability for growers and processors. The system integrates unique solutions like CanaSight™ for yield prediction and harvest optimization, CanaTrace™ for sustainability tracking and RenovaBio compliance, and AquaView™ for precision soil moisture monitoring without physical sensors.
By analyzing vast datasets, including satellite imagery and climate information, GAMAYA delivers actionable insights to enhance decision-making. The platform focuses on boosting sugar yields, improving resource management like water usage, and supporting sustainable practices by facilitating carbon sequestration tracking and compliance reporting. Its goal is to help the sugarcane sector increase productivity while aligning with environmental objectives and combating climate change impacts.
Key Features
- CanaSight™ Yield Prediction: Provides weekly projections and accurate recommendations for optimal harvest timing using satellite imagery, climate data, and AI.
- CanaTrace™ Sustainability & Compliance: Offers deforestation reports, CAR analysis, and geospatial monitoring to streamline RenovaBio certification and maximize CBIO potential.
- AquaView™ Smart Irrigation: Delivers precision soil moisture and temperature monitoring without physical sensors, enabling tailored irrigation schedules based on predictions and weather data.
- AI-Powered Agronomic Modeling: Combines AI, remote sensing, and crop-specific models for customized insights into sugarcane production.
- Global Data Insights: Leverages data from millions of monitored hectares worldwide (4M+ reported) to ensure precise agricultural recommendations.
- Sustainability Focus: Aims to reduce CO₂ emissions (up to 1 ton per hectare reported) and supports sustainable farming practices.
Use Cases
- Maximize sugarcane yield and profitability per hectare.
- Optimize harvest timing based on predicted sugar content.
- Improve water use efficiency through smart irrigation scheduling.
- Ensure compliance with environmental regulations like RenovaBio.
- Track and report carbon sequestration for sustainability initiatives.
- Monitor large agricultural areas for crop health and development.
- Make data-driven decisions for planting, fertilization, and crop management.
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