Hydroponic Crop Optimization with AI
High resource consumption and variable yield in hydroponic systems without ability to predict problems
Description
A comprehensive analysis and recommendation system for hydroponic crops that uses machine learning to identify optimal conditions for six crop varieties and predict yields.
Technologies
Objectives
Reduce operational costs (water, electricity, nutrients)
Maximize crop yield through parameter optimization
Predict problems before they occur
Calculate specific ROI for different crop types
Project Gallery
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