Tools & data
Start-up uses AI and GPS to optimise on-farm logistics
Optimising the use of areas and machinery on a farm is a simple way of saving costs with potentially great benefits for producers. With the use of georeferencing and data processing technologies, growers can optimise harvest and transshipment logistics.
The Brazilian agtech start-up Agromizer now offers a system to optimise on-farm routings to save time and reduce fuel consumption. The software calculates the most efficient planting lines and harvesting routes.
Longer planting lines increase costs
“Growers used to think that longer planting lines always bring greater benefits, but often, on the contrary, they end up increasing costs due to the logistics of transshipments and harvests”, said João Campos Mundim, founder of the start-up.
Agromizer uses artificial intelligence and georeferencing to define the most efficient routes for harvesters and transshipments on agricultural properties, allowing to optimise economic and environmental results.
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Agromizer's software uses Google maps to design the most cost-efficient planting lines and routes of harvesting equipment. - Photo: Agromizer
Software as a Service
The start-up offers the service as a SaaS model (Software as a Service). The customer uploads his current Google maps and receives all information and improved maps using the latest generation of software.
Mundim, who has 20 years of logistical experience in the agriculture sector, explains that, through machine learning resources, the more areas that processed, the more efficient the optimisation becomes.
“The advantage is that the farmer only pays for the area he wants to optimise. We developed this solution because several times I was questioned by customers about the difficulty of defining the harvest’s micro logistics to improve productivity,” Mundim said.
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