More than 1,000 agriculturists in over 40 countries of the world use the software of the Belgrade-based company Logit. The unique technological platform AgriSens
processes images from agricultural areas gathered by drones, enabling agriculturists to review the quality of the sowing and the plantations, the expected yields, areas under risk of plant stress etc.
Thanks to the Belgrade company's solution, a tomato producer in California determined that an external associate had planted 20% fewer stems on his fields than planned, instead of 5%, as previously reported. Considering that the area in question has 30 hectares and 440,000 tomato stems, there was no other way to determine irregularities with such precision.
Implementing AgriSens in mango, avocado or banana plantations is much more exotic. Its advantages have been recognized by farmers throughout the world, from New Zealand, Australia, through Puerto Rico, to the United States of America. Logit is one of only 5 companies developing this kind of software in the entire world.
The AgriSens platform has been developed for the past two years, and the commercialization of the software started in the spring of 2016. The potential of the software developed by Belgrade engineers is proven by the fact that the American company Drone Deploy, the world leader in the field of navigation and survey processing software development, has chosen them as strategic partners, and the significance of the solution has been confirmed by the expert jury of Aurea, awarding Logit with the Investment of the Year prize, handed out by our portal
. Additional development and further implementation
Milan Dobrota, CEO of Logit, says for eKapija that the software has been used in growing over 60 plants so far globally, and that most requests come from those who grow grains: corn, wheat, barley.
– The agricultural season has started and we are contacted by a large number of farmers daily, so we expect the number to considerably exceed the current 1,000 users. The plan is to also introduce new ways of implementing the software and develop a part of the platform which not only analyzes individual images, but provides users with a more systematic monitoring of data from their crops over a period of time.