Automation for accounting and control in greenhouses

We are advancing our efforts in the project aimed at automating accounting and control within greenhouse complexes. One of the objectives involves identifying plants that exhibit signs of wilting.

Introducing the New Monstera Models

We continue to introduce new models, and this week, we've unveiled a special model for Monstera. Monstera is a captivating plant, and our general model often detects mechanical damage on its leaves due to their unique structural features. Now, with our specialized model, you can receive precise diagnoses for Monstera-related issues.

It's noteworthy that in its natural habitat, Monstera can reach a towering height of 9 meters. Furthermore, it's a scientifically established fact that you can monitor the health of your plants and receive care recommendations through our DoctorP application, which is available on Google Play and the App Store. You can also access our services via our Telegram bot at

Automation for accounting and control in greenhouses

We are currently engaged in the development of an automated system for analyzing plant conditions within greenhouse complexes. Our goal is to simplify routine operations for agronomists and provide them with convenient tools for monitoring plant health in these environments. Our project requires the development of autonomous robotic platforms capable of moving on different surfaces and operating at heights exceeding 4 meters.

100,000th request!

Our platform recently processed its 100,000th request, which was received on October 11th from an iPhone. While the general model included 'black rot' in the list of potential issues, this identification was incorrect. However, the image was correctly recognized as an orchid, and the private model prioritized 'loss of turgor' as the primary concern, which the user subsequently selected. We hope that our recommendations contributed to resolving the plant's problem!

 We are committed to the ongoing development of our project, with plans to enhance existing models and descriptions, as well as introduce new models tailored to agricultural and ornamental crops.

 You can always assess the condition of your plants and receive care recommendations via our DoctorP application, available on both Google Play and the App Store. Alternatively, you can use our Telegram bot at

Introducing the New Ficus Models

Nature boasts a diverse array of ficus varieties, ranging from trees and bushes to elegant vines. Some grow to towering heights, while others remain petite. Among the domesticated ficus species, there are considerably fewer options, yet they are known for their manageable size and undemanding care requirements. In response to user feedback, we are pleased to announce the addition of specialized models for the two most popular ficus types: Benjamin and Elastica.


Now, you can easily monitor the well-being of your plants and receive expert care recommendations through our DoctorP application. It is available for download on both Google Play and the App Store. Alternatively, you can access our services through our Telegram bot at

Automation for accounting and control in greenhouses

We are developing automation for accounting and control in greenhouses. We will try to keep you inform about its evaluation.

DoctorP for iOS users

We are excited to announce that our DoctorP app is now available for iOS users! iPhone owners can now easily monitor the health of their plants and receive expert recommendations for their care and treatment from our team of agronomists.

Publishing the app on the App Store was a challenging endeavor, and we couldn't have accomplished it without the valuable assistance of Urban Software's Serbian branch.

You can download the application by clicking on the link below:

The General Disease Model and Crop Model have been updated!

The general disease model has undergone both updates and expansions. It now encompasses 68 distinct classes of diseases, pests, and the resulting consequences of their activities. Simultaneously, significant enhancements have been made to the crop model. The statistical precision of our models stands at an impressive rate of over 97%. However, it's important to note that achieving an exact diagnosis of 97 out of 100 images forwarded to us might not be feasible. The real-world accuracy of correct recognition is considerably lower due to various variables like lighting conditions, proximity, image clarity, viewing angles, and more. Nevertheless, our commitment to refining our models is unwavering, which in turn contributes to improving the genuine precision of recognition.

For a firsthand experience of the improved models' performance, please feel free to visit our website at Alternatively, you can explore the capabilities of the models through our DoctorP application, available on Google Play. Additionally, you can access the models via our Telegram bot at