Nonlinear modelling of crop growth dynamics addresses the characteristic sigmoidal progression of plant development, capturing phases of establishment, exponential expansion and plateau. By fitting ...

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 ...

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 ...

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 ...

CHANDIGARH, India, June 27, 2026 /PRNewswire/ -- In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed an Artificial ...

Climate change is increasingly exposing agricultural systems to drought, heat stress, erratic rainfall and extreme weather ...