Abstract: This research explores the application of deep learning techniques for soil analysis in precision agriculture, focusing on the classification of soil types using convolutional neural ...

Accurate assessment of soil salinity is critical for sustainable agriculture and food security, yet remains technically challenging at fine spatial scales.

Abstract: Imbalanced data affects a range of machine learning applications including bioengineering. Sampling is the most common approach to deal with imbalanced data. In this study, the effectiveness ...