  This manuscript presented an autonomous home farm for predicting metrological
characteristics that can not only automate the process of growing crops but
also, due to a neural network, significantly increase the productivity of the
farm. The developed farm monitors and manages the following indicators:
illumination, soil PH, air temperature, ground temperature, air humidity, CO2
concentration, and soil moisture. The presented farm can also be considered as
a device for testing various weather conditions to determine the optimal
temperature characteristics for different crops. This farm as a result is
completely autonomous grows tomatoes at home.
