Abstract: Agricultural pests severely threaten food security, resulting in significant economic, social, and environmental impacts. This paper uses weather data and machine learning models to forecast ...
Abstract: This paper proposes an innovative framework that combines convolutional neural networks (CNNs) with transfer learning to address the limitations of traditional image retrieval methods in ...