Hemav was born with the goal of helping farmers estimate in advance how many tons and what quality they will obtain from each plot, reducing uncertainty in a sector particularly exposed to climate and costs. They started working with drones, but the company has evolved towards data analysis upon realizing that the true value for the field was anticipating key decisions regarding irrigation, fertilization, or harvest logistics.
“Our purpose is to reduce uncertainty about production so that decisions can be made earlier and with reliable data”, explains Silva. With an accuracy of over 95% in their estimates, the technology allows for water savings, treatment optimization, and increased productivity without increasing resource use.
In a context of pressure on water and agricultural costs, predictive tools like Layers, created by Hemav, aim to demonstrate that technological innovation can also improve the profitability of the field and reduce its environmental impact.
