A pioneering study introduces a functional data analysis (FDA) methodology to model the relationship between environmental factors and crop yields in year-round agriculture. Designed for crops like ...

Model transfer provides a solution for crop classification in unlabeled areas. However spectral discrepancies in satellite images, caused by varying climatic conditions across regions, pose ...

The method, which uses synthetic datasets and transfer learning to overcome data scarcity and variability, significantly outperformed conventional techniques in multi-year field trials. Leaf area ...

Agriculture currently accounts for approximately 70% of global freshwater withdrawals. Amid increasing challenges posed by ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

While farmers have cultivated crops for millennia using intuition and experience, today's agriculture increasingly relies on data-driven approaches to maximize yields while minimizing environmental ...