A lightweight deep learning and whale optimization framework for sustainable precision agriculture

Key Points

• Enhanced efficiency in precision agriculture is achieved using a lightweight deep learning framework.
• The approach incorporates whale optimization techniques to improve predictive accuracy for crop management.
• Application of machine learning models facilitates sustainable practices in agricultural systems across various environments.
• This method suggests significant implications for reducing environmental impact and optimizing resource use in farming.