Raspberry PI for compact autonomous home farm control

TL;DR

This paper presents an autonomous home farm system using Raspberry Pi that monitors environmental factors, predicts weather conditions, and optimizes crop growth, specifically growing tomatoes at home with increased productivity.

Contribution

It introduces a neural network-based autonomous farm system that monitors multiple environmental parameters and tests weather conditions for optimal crop growth.

Findings

Successfully automated tomato cultivation at home.

Enhanced productivity through neural network predictions.

System can simulate weather conditions for crop optimization.

Abstract

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.