Home Solution CanaSight™ (Smart Harvesting for Sugarcane)
Switzerland

CanaSight™ (Smart Harvesting for Sugarcane)

Sustainable agriculture

Optimizing sugarcane harvesting efficiency and reducing CO₂ emissions in the agriculture sector.

Contact

Logo

Gamaya

Company Established Year

Since 2015

Who is this solution for

Govt, Business, NGO

Info

Available

To sell
Build new partnerships

Looking

To find distributors

Project Status

In commerce

Looking to expand internationally

Yes

Doing business in

worldwide

Awards and certifications

Swiss Economic Forum High-Tech Award

2017

Honored for innovation in agricultural technology.

NVIDIA Inception Award

2017

Recognized for AI-driven breakthrough in hyperspectral analytics.

Sustain. AI Accelerator Selection

2024

Selected for its contributions to sustainability through AI in global food systems.

Product description

CanaSight™ (Smart Harvesting for Sugarcane) is an innovative AI-powered precision harvesting tool developed by Gamaya for sugarcane mills and growers. By leveraging satellite and drone hyperspectral imagery, weather data, and agronomic information, CanaSight™ provides weekly forecasts on key parameters such as biomass, sugar content, flowering, ripening, and logistical recommendations. With an impressive accuracy rate of over 95%, this solution enables mills to identify the optimal harvest timing on a field-by-field basis, leading to increased sugar recovery and minimized losses.

One of the standout features of CanaSight™ is its ability to incorporate various operational factors like transport constraints and weather conditions into its forecasts, allowing for the creation of dynamic harvesting plans that can adapt in real time. Clients who have implemented CanaSight™ have reported up to a 5% boost in sugar yield per hectare, along with notable reductions in CO₂ emissions. By automating routine decisions and enhancing operational agility by approximately 90%, CanaSight™ brings a new level of transparency and traceability to sugarcane harvesting processes.

Deployed in regions across Brazil, India, Southern Africa, the U.S., and LATAM, CanaSight™ exemplifies Gamaya's commitment to scalable and sustainable agriculture practices.

Key characteristics and environmental benefits

  • AI-powered precision harvesting tool for sugarcane
  • Utilizes satellite and drone hyperspectral imagery, weather, and agronomic data
  • Delivers weekly forecasts on biomass, sugar content, flowering, ripening, and logistical recommendations
  • Over 95% accuracy in forecasting optimal harvest timing
  • Enables dynamic harvesting plans that adapt in real time
  • Up to 5% increase in sugar yield per hectare and reduced CO₂ emissions
  • Enhances operational agility by around 90%
  • Brings transparency and traceability to harvesting processes
  • Scalable solution used in multiple countries for sustainable agriculture

About the Company

Gamaya is a Swiss ag-tech innovator founded in 2015, headquartered in Morges/Étoy, Switzerland. Specializing in hyperspectral imaging, AI, and remote sensing technologies, the company equips farmers—especially in tropical crops like sugarcane and grapes—with advanced digital tools to sustainable agriculture and climate resilience. Their suite of solutions, including CanaSight™, CanaTrace™, and AquaView™, leverages drone and satellite imagery combined with AI-driven agronomic models to boost yields, optimize harvesting, manage irrigation, and reduce CO₂ output per hectare. By enabling precision farming, Gamaya helps clients increase productivity (e.g., up to 5% yield gains in sugarcane), conserve water, and streamline operations without additional hardware. Following its merger with Terraview in 2024, Gamaya now offers a unified platform for decarbonisation and water efficiency across multiple crops. Operations span regions including Brazil, Latin America, Africa, India, and the U.S., reinforcing its commitment to applying data-powered farming solutions that improve resource efficiency, support decarbonisation, and respond to global food and climate challenges.

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