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We apply the latest technologies like artificial intelligence and computer vision to make agriculture more efficient and sustainable.
In the world, 24727 million dollars is invested in herbicides per year, representing 44% of agrochemical expenditures. In comparison the area is 128 million hectares planted with soybeans in 105 countries.
It should be noticed that herbicides are applied uniformly throughout the fields, regardless of whether or not weeds exist. This makes herbicides usage increasingly inefficient, costly and harmful to the environment and human health. Encouraging the growth of resistant weeds.
We have a proven method for the detection of weeds in the presence of crops that results in a product that impacts a niche not explored so far: Selective application of herbicides with crops.
There are 5 companies in the world working on this and there are no solutions in the market yet for soybean.
Thanks to this solution, agricultural producers can save up to 70% of the agrochemical which is going to be used depending on the amount of weed in the field. It also makes it possible to create an exact map of how much and where it applied agrochemicals in order to have a application quality certification.
The most disruptive thing generated by this technology is that we all start talking about costs and the return on investment and end up talking about the best weed management that is achieved and the least environmental impact of the systems (measured with the EIQ index). We are managing to reduce the impact of each application by 70%, that is, what previously had an impact of 100 on the environment, the operator and the consumer, today has an impact of 30.
In the world, 24727 million dollars is invested in herbicides per year, representing 44% of agrochemical expenditures. In comparison the area is 128 million hectares planted with soybeans in 105 countries.
It should be noticed that herbicides are applied uniformly throughout the fields, regardless of whether or not weeds exist. This makes herbicides usage increasingly inefficient, costly and harmful to the environment and human health. Encouraging the growth of resistant weeds.
We have a proven method for the detection of weeds in the presence of crops that results in a product that impacts a niche not explored so far: Selective application of herbicides with crops.
There are 5 companies in the world working on this and there are no solutions in the market yet for soybean.
Thanks to this solution, agricultural producers can save up to 70% of the agrochemical which is going to be used depending on the amount of weed in the field. It also makes it possible to create an exact map of how much and where it applied agrochemicals in order to have a application quality certification.
The most disruptive thing generated by this technology is that we all start talking about costs and the return on investment and end up talking about the best weed management that is achieved and the least environmental impact of the systems (measured with the EIQ index). We are managing to reduce the impact of each application by 70%, that is, what previously had an impact of 100 on the environment, the operator and the consumer, today has an impact of 30.
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Juan Ignacio Cornet
Ivan Regali
Juan Ignacio Cavalieri
Mammarella Marcos
Juan Manuel Baruffaldi
Bachelor of Computer Science received from the National University of Rosario, specialized in Artificial Intelligence and Computer Vision.
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