Crop segmentation, the process of identifying crop regions in images, is fundamental to agricultural monitoring tasks such as yield prediction, pest detection, and growth assessment. Traditional ...

A Swedish-Italian research group has applied state-of-the-art models for global horizontal irradiance decomposition to assess photosynthetically active radiation in agrivoltaic projects – an important ...

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 ...

The rising global population, projected to reach 10 billion by 2050, is anticipated to double the demand for food, especially animal-based products. This surge in demand is set to intensify pressure ...