Webinar

Brazil’s Crop Progress – A Bird’s Eye View with Satyield

Join Bloomberg Intelligence and SatYield for an in-depth look at Brazil’s 2026 soybean season. The session will open with a macro overview of Brazil’s crop outlook from Bloomberg Intelligence, followed by a deep dive into crop conditions developments with SatYield’s technology integrated by satellite imagery, crop science, and digital twins to deliver near real-time insights. Together, we’ll explore how data-driven tools are reshaping agricultural forecasting and decision-making.

Agenda:
  1. Brazil Crop Outlook - Marina Cavalcante, Bloomberg Intelligence: An analytical overview of Brazil’s 2026 soybean season, highlighting key drivers of production, trade, and risks.
  2. Tracking the Season with SatYield - Gabby Nizri and Yoav Sharaby, Satyield: How advanced modeling and high-resolution satellite data enhance yield forecasting accuracy to reduce market uncertainty.
  3. Q&A Session and Closing Remarks

Speakers

Marina Cavalcante

Associate Analyst

Bloomberg Intelligence

Marina Cavalcante is an Associate Analyst at Bloomberg Intelligence, covering Brazil’s agribusiness sector and global protein companies. She brings over ten years of experience across corporate finance, pricing strategy, and market analysis. Before joining Bloomberg in 2024, Marina worked in corporate finance at General Motors and later in the fertilizer industry at Mosaic and Green Markets, where she focused on commercial strategy and pricing.

Gabby Nizri

Co-Founder and CEO

SatYield

Gabby Nizri leads SatYield’s strategy, partnerships, and market expansion. With a background in building data-driven technology companies, Gabby focuses on bringing advanced earth observation and crop intelligence to global agriculture markets. He works closely with producers, traders, and financial institutions to bridge scientific innovation with real-world decision-making across the agricultural value chain.

Yoav Sharaby

Agronomic Crop Modeler

SatYield

Yoav Sharaby develops SatYield’s crop growth models and digital twins, combining agronomy, remote sensing, and machine learning to deliver accurate in-season yield insights. His work focuses on model design, calibration, and validation, ensuring scientific rigor and scalability across crops and regions. Yoav plays a key role in translating biological processes into operational forecasting tools used by analysts and market participants. Yoav holds MSc in Genetics & Breeding and BSc in plant sciences from the Faculty of Agriculture.

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