#1 Determination of Optimal Conditions to Support Plant Growth
By testing different electrical signals at set frequencies and durations, we will be able to determine the optimal voltage to most impactfully improve nutrient uptake.
Moreover, the prototype can take pH readings of the different groups at frequent intervals to monitor the changes in plants more closely after the pulses are administered.
#2 Implementation of Self-regulating System
We would like to return to the inspiration from human neurobiology by mimicking the brain’s ability to send signals that automatically respond to the body’s needs.
Our goal is to optimize the prototype so it can autonomously adjust to changing conditions, emitting different voltage levels to enhance nutrient uptake continuously.
#3 Incorporation of Machine Learning Algorithms to Predict Optimal Electrical Pulses for All Other Plants
This prediction and optimization will broaden the scope of the prototype by making it customizable for users, which allows for flexibility in the process of using the prototype.
Integrating this machine learning model with more advanced technology will, moreover, make the device more user-friendly.
#4 Implementation of a Renewable Energy Source
With regard to power, the prototype is powered through an AC/DC power adapter.
While this may help to provide all functions of the circuitry, it is not sustainable in that it can release harmful chemicals into the environment.
Hence, finding and implementing a renewable energy source, such as solar power, can significantly reduce carbon emissions and air pollution from energy production.
#5 Translation to Traditional Agriculture
We would like to study the prototype's application to traditional agriculture, considering not just hydroponically grown plants but those grown in soil.
This would expand the benefits to people that may not have access to create or support hydroponic systems, increasing the resulting benefit to populations worldwide.
Updates coming soon; stay tuned!