AI automates seed germination analysis

With daily scans and remote operation, the process becomes up to 20 times faster than the traditional manual method. The identification of batches by QR codes increases traceability and reduces errors, while the data is available in the cloud for real-time monitoring and historical storage. This approach brings more standardization and agility to quality analyses in the seed sector, benefiting developers, multipliers, and certifying laboratories. The use of this technology can contribute to accelerating the delivery of higher quality seeds to the farmer. The solution was developed by a startup from Piracicaba (SP), which focused on the complete automation of the process to increase the efficiency of evaluations in controlled environments. "The great differential of Phenosync is the complete automation. The system stores the coordinates of each unit to be evaluated and executes the scans at defined times. A complete scan of a greenhouse of 21m x 7m (about 550 units with up to ...