The production monitoring module of the iFarm SaaS platform was released on September 13. Product director, Mr. Oleg Kostenko shows how the module works.
In this version of the module, one can monitor the data on microclimate as well as light switching on and off. The system warns about critical malfunctions in the temperature, humidity and CO2 sensors. It is similar to a real-time weather forecast within a big vertical farm but with more precise data.
The data from all microclimate IoT sensors in farms built in accordance with the iFarm technology is transferred in the online mode to our servers and is preserved there for further precession by the neural network. Currently we pick only the vital data and present it as a clear summary in a special section of our software.
The monitoring module is catered for our clients, owners and associates, servicing the farms. Apart from the microclimate control, they can monitor the situation in the production via online broadcasting system. It is accessible on a desktop, tablet or smartphone. Currently the iFarm associates are testing the module and soon it will become available to users.
By the end of October, this module will allow for the study of the data of the daily growers’ activities on technical and technological check lists, for giving additional tasks to the associates and for monitoring the growth of every individual bedding.
Soon iFarm will teach the module to carry out work time control function, demonstrate sale analytics, stock balance and other data. As a result, it will become a unified production and sales management center with smart analytical instruments and immediate communication with the farm associates as well as with timely technical support.
iFarm have been creating their SaaS platform in association with highly qualified agronomists, and automation engineers. They based theirr work on actual production, involving existing clients and sales data. Azosoft is their subcontractor, they design the software.
In October, iFarm is releasing new modules for their SaaS platform:
- Planting planning module, allowing for increased productivity, for avoiding clashes in planting schedules and for precise crops planning;
- Order module for working with end clients, shaping orders and demand forecasting;
- Plant growing check-list and agronomist diary module.
In August, iFarm also started conducting several experiments with computer vision: they are learning to calculate the green mass, to determine growth abnormalities and to define a disease by the camera shots in their experimental laboratories. By November, they are planning to report about the first results and to start applying the educated modules of our neural network.
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