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 ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

A recent study introduces a groundbreaking method for early crop identification, leveraging the Bayesian Probability Update Model (BPUM). This innovative approach combines historical planting data ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Subscribe to our newsletter for the latest sci-tech news updates. Crop segmentation, the process of identifying crop regions in images, is fundamental to agricultural monitoring tasks such as yield ...

The Earth is heating up. The effects of human-caused global climate change are becoming more and more apparent as we see more record-breaking heat waves, intense droughts, shifts in rainfall patterns ...