Predicting of Moisture Ratio for Bitter Leaf (Vernonia amygdalina) Using Artificial Neural Network

Key Points

• Moisture ratio predictions achieved accuracy above 90%, enhancing agricultural insights.
• Key evidence shows significant correlation between data inputs and predicted moisture values.
• Analysis using artificial neural network algorithms to forecast moisture levels.
• This model supports precision agriculture practices; further validation in diverse conditions is needed.