The platform also has a set of tools with Artificial Intelligence (AI for its acronym in English) to help make decisions in each phase of agriculture, from before planting to after harvest, enabling data-driven agriculture. .
“The FarmVibes Project allows us to build the agriculture of the future. We are demonstrating the impact that technology and AI can have on agriculture,” Nelson said.
(Courtesy)
A look at the agriculture of the future
FarmVibes AI-powered algorithms, which are hosted on Microsoft Azure, predict the ideal amounts of fertilizer and herbicide Nelson should use and where to apply them; they forecast temperatures and wind speeds in their fields, informing when and where to plant, and spray; they determine the ideal depth to sow the seeds according to the humidity of the earth; and tell you how different crops and practices can sequester carbon in the soil.
“For me, the FarmVibes Project saves a lot of time, reduces costs and helps us control any problems we have on the farm,” said the farmer.
The FarmVibes.AI suite has allowed the Nelson farm to have innovations such as:
Async Fusion. This technology combines images from drones and satellites with data from sensors on the ground to provide information and create moisture or nutrient maps to vary the speed at which you plant seeds and apply fertilizers, which can increase yields and prevent over-fertilization. fertilization.
SpaceEye. This tool uses AI to remove clouds from satellite images. This helps Nelson cover areas that he hasn’t explored with a drone. He can then feed these images into AI models that can identify weeds, helping him create maps to deliver herbicide only to areas that need it.
DeepMC. Innovation that uses data from sensors and weather station forecasts to predict temperatures and wind speeds for the field’s microclimate. In the Nelson area, the local weather forecast predicts what conditions will be like at 10 meters.
