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This manuscript presented an autonomous home farm for predicting metrologicalcharacteristics that can not only automate the process of growing crops butalso, due to a neural network, significantly increase the productivity of thefarm. The developed farm monitors and manages the following indicators:illumination, soil PH, air temperature, ground temperature, air humidity, CO2concentration, and soil moisture. The presented farm can also be considered asa device for testing various weather conditions to determine the optimaltemperature characteristics for different crops. This farm as a result iscompletely autonomous grows tomatoes at home.

Raspberry PI for compact autonomous home farm control