We are pleased to announce that we have developed an algorithm that uses hourly weather data to predict the risk of infections by downy mildew, powdery mildew, black rot, and grey rot.
23.09.2025 17:56 β π 1 π 0 π¬ 0 π 0@axtronsystems.bsky.social
Technology start-up that aims to improve people's lives through innovative technological solutions. Official website: https://axtronsystems.com
We are pleased to announce that we have developed an algorithm that uses hourly weather data to predict the risk of infections by downy mildew, powdery mildew, black rot, and grey rot.
23.09.2025 17:56 β π 1 π 0 π¬ 0 π 0We are pleased to announce that we have developed an LSTM-based AI model to forecast monthly average temperatures in vineyards, using historical meteorological data.
23.09.2025 17:55 β π 0 π 0 π¬ 0 π 0We are pleased to announce that we have implemented a Random Forest model to estimate the rainfall required for healthy vineyards, based on local soil properties and forecast temperatures. This will enable us to estimate the amount of irrigation needed to keep vineyards healthy.
23.09.2025 17:55 β π 0 π 0 π¬ 0 π 0We are thrilled to announce that we have created a dataset with over 8,000 images of infected vine leaves, covering six different diseases. We have also trained a Faster R-CNN AI model for the automatic detection of these diseases.
23.09.2025 17:54 β π 0 π 0 π¬ 0 π 0We are pleased to announce that we have completed our mapping software, capable of creating 2D maps of vineyards with an accuracy of a few centimetres. This will enable precise and selective spraying of pesticides.
#AGRARIAN
We are pleased to announce that we have successfully trained an AI model based on Mask R-CNN for the detection and identification of grapes and vine leaves in vineyards.
23.09.2025 17:46 β π 0 π 0 π¬ 0 π 0The picture displays the rover in action, taking photos and mapping the vineyard. The project is being developed in collaboration with Agrarian, and has received funding from the European Union.
We visited AVIPE's vineyards in Palmela and our prototype rover captured 9,000 high-resolution photos of the vines and grapes, along with their exact position, for the WINESMART project.
13.08.2025 14:18 β π 0 π 0 π¬ 0 π 0The picture displays the prototype rover for the WINESMART project. The project is being developed in collaboration with Agrarian, and has received funding from the European Union.
The WINESMART project team presents its prototype rover equipped with six cameras and RTK positioning, ready to map vineyards.
13.08.2025 14:05 β π 0 π 0 π¬ 0 π 0Project poster by Axtron Systems. It displays the company logo, and the project's title "WINESMART", followed by the full title "Intelligent Pesticide Spraying Solution for Vineyards". Under the text, there are two images. The first is an image of a vineyard, the second shows a close up of the grapes in the vine. The project is being developed in collaboration with Agrarian, and has received funding from the European Union.
We're excited to announce that we're collaborating with Agrarian on the WINESMART project. We'll be developing a prototype rover equipped with cameras and RTK positioning to map vineyards at high resolution, allowing for precise selective spraying of pesticides.
17.07.2025 19:45 β π 0 π 0 π¬ 0 π 0FIRECOM in action: high-resolution orthophoto map and 3D point cloud created from images captured by drone.
28.03.2025 19:16 β π 0 π 0 π¬ 0 π 0FIRECOM in Action: Drone Mission Planner. This module allows you to create image capture missions according to specific requirements. The drone then automatically flies the designed mission.
28.03.2025 14:09 β π 0 π 0 π¬ 0 π 0Project poster by Axtron Systems. It displays the company logo, and the project's title "Firecom", followed by the full title "Firepropagation Risk Assessment and Compliance at Urban-Forest Interfaces". Under the text, there are two images. The first is an image of a drone about to take off on a dirt road, the second shows part of the project's interface, displaying the captured aerial image and highlighting the areas around structures where vegetation should be managed. The project was developed under the CHAMELEON project, and has received funding from the European Union.
The FIRECOM project was developed by Axtron Systems as part of the EU Horizon CHAMELEON project. Its main objective is to use drones and artificial intelligence to help reduce the risk of wildfires spreading in urban-forest interfaces.
You can find out more on our website (link on our profile).