During the testing of a prototype mobile system for agricultural machinery, we realized that this solution could be applied in various fields. Simplifying the technical details as much as possible, here's the process: identify the area of interest on a map, load the necessary model into the system, drive the system along different routes, upload the data to the server, and then review where the tracked objects were detected. Of course, there are many nuances related to travel speed, lighting, cameras used, and other factors, but we are conducting these tests to gain the necessary experience and knowledge!

Initially, we planned to conduct the testing on dogs, but it has been very hot lately, and it's difficult to find them outside. We had to switch to birds. And it worked!

If you are interested in collaborating with us, please email us at info@doctorp.org or use the feedback feature on our Telegram channel: https://t.me/DoctorPl.

Strawberries are a wonderful summer berry loved by both adults and children. Monitoring the condition of the bushes will positively affect the harvest, and our application can help with this! We have updated the crop model and the specialized strawberry model to better recognize potential problems!

Download the DoctorP app on Google Play (https://play.google.com/store/apps/details?id=com.pdd.pdd) and the App Store (https://apps.apple.com/gb/app/doctor-for-your-plant/id6464281810). 

For suggestions on improving the app, reach out to info@doctorp.ru or use the feedback feature in our Telegram channel (https://t.me/DoctorPl).

We are receiving an increasing number of requests concerning vegetable crops and are continuously updating our models. We have enhanced our crop models and developed a specialized model for peppers to better identify potential issues!

Download the DoctorP app on Google Play (https://play.google.com/store/apps/details?id=com.pdd.pdd) and the App Store (https://apps.apple.com/gb/app/doctor-for-your-plant/id6464281810). 

For suggestions on improving the app, reach out to info@doctorp.ru or use the feedback feature in our Telegram channel (https://t.me/DoctorPl).

We encountered a problem with our robot designed for greenhouse complexes. During load testing at the test site, which features a greenhouse model with three rows of turbo rails, a bearing failed, and a wheel came off. Despite the manufacturer's claim that the motor with the wheel should withstand loads up to 100 kg, the weight of the robot with the lifting mechanism proved too much. This situation is unfortunate, but that's the purpose of load testing. While we are currently selecting more reliable wheels and motors, work continues on the software modules for the complex.

If you would like to participate in our projects or have any questions or suggestions, please contact us at info@doctorp.ru or use the feedback option on our Telegram channel: https://t.me/DoctorPl

We continue to prepare for the season. We've enhanced our crop model to better identify cucumbers and updated our specialized model to detect potential problems more effectively. 

Download the DoctorP app on Google Play (https://play.google.com/store/apps/details?id=com.pdd.pdd) and the App Store (https://apps.apple.com/gb/app/doctor-for-your-plant/id6464281810). 

For suggestions on improving the app, reach out to info@doctorp.ru or use the feedback feature in our Telegram channel (https://t.me/DoctorPl).

Effective disease and pest control is paramount in agriculture. In addition to regular manual inspections, farmers increasingly rely on automated monitoring solutions. While drones offer a promising solution, their deployment often comes with various challenges

Our team is developing a project focused on mobile monitoring systems/complexes designed to be integrated onto agricultural machinery. These complexes will operate autonomously, leveraging data from GPS modules. When within a designated area, they will utilize cameras to capture images, which will then be processed using neural network models. Detected issues will be promptly logged and transmitted to a server for further analysis. Consequently, agronomists will have access to a detailed field map, complete with images highlighting detected anomalies at specific locations.

The successful implementation of this project requires overcoming numerous technical, software, and organizational challenges. Currently, we are finalizing the prototype of our automated monitoring complex and preparing for testing.

Our platform operates not only with agricultural plants but also with ornamental ones. Roses, being among the most beloved shrubs in country estates and gardens, are a prime example. We've enhanced our crop model to better identify roses and updated our specialized model to detect potential problems more effectively. 

Download the DoctorP app on Google Play (https://play.google.com/store/apps/details?id=com.pdd.pdd) and the App Store (https://apps.apple.com/gb/app/doctor-for-your-plant/id6464281810). 

For suggestions on improving the app, reach out to info@doctorp.ru or use the feedback feature in our Telegram channel (https://t.me/DoctorPl).

As the new season approaches, we're seeing a surge in requests for seedlings, with tomatoes comprising a significant portion. We've enhanced our crop model to better identify tomatoes and updated our specialized model to detect potential problems more effectively. 

Remember, our application offers valuable tips on seedling cultivation. Download the DoctorP app on Google Play (https://play.google.com/store/apps/details?id=com.pdd.pdd) and the App Store (https://apps.apple.com/gb/app/doctor-for-your-plant/id6464281810). 

For suggestions on improving the app, reach out to info@doctorp.org or use the feedback feature in our Telegram channel (https://t.me/DoctorPl).