The partners behind new detection.

• Whitefly detection
• Breeding acceleration
• Greenhouse-trial cameras

Joint project to improve pest management and plant breeding efficiency using AI-based phenotyping. Cameras installed in a research greenhouse in Bleiswijk, Netherlands continuously photograph tomato canopies — Croptimus then detects whiteflies and quantifies their impact on each plant. The data accelerates pest-resistance assessment cycles for breeders, replacing manual counts that previously took weeks.

• 3 megacages + open field
• Seed-disease detection
• Pollination tracking

Bayer Crop Science (BCS ID) teamed with Fermata to improve carrot and onion seed production. After a successful 2023 pilot, the project expanded in 2024 with advanced cameras installed across three megacages and an open field, with further data collection continuing in 2025 and 2026. The initiative targets seed-transmitted diseases, pollination tracking, and pest control — ensuring optimal crop health and consistent high-quality seed output.

• Weather + satellite fusion
• Personalized fertilization
• Single grower workflow

Combining Croptimus™ computer vision with Yield Computer's yieldsApp agronomic platform, this collaboration fuses local weather data, crop models, satellite imagery, and field-level detections to deliver personalized fertilization and pesticide recommendations. The joint solution covers detection, decision support, and treatment planning in a single workflow for the grower.

• 30 plants
• 3-month cycles
• Early-detection models

Internal R&D project running 30 tomato plants in controlled-environment rooms, artificially inoculated with target pests and diseases over a three-month window. The collected imagery seeds the next early-detection models for classes not yet present at customer sites — letting growers identify and treat emerging threats before they spread into commercial production.