Irrigation Optimization

Framework integrating deep learning and remote sensing for irrigation.

Rows of vibrant green crops in a field are being watered by numerous sprinkler systems, creating arcs of water against a backdrop of cloudy skies. The neat lines of plants and the water mist add a sense of order and calm.
Rows of vibrant green crops in a field are being watered by numerous sprinkler systems, creating arcs of water against a backdrop of cloudy skies. The neat lines of plants and the water mist add a sense of order and calm.
Knowledge Graphs

Developed a comprehensive knowledge graph for crop diseases and fertilization, establishing a methodological foundation for integrating domain knowledge into agricultural systems and enhancing decision-making processes.

Several agricultural fields are visible in an aerial view with geometric patterns. The fields are separated by thin dirt roads or embankments and display different colors due to variations in crop types, soil, or water conditions.
Several agricultural fields are visible in an aerial view with geometric patterns. The fields are separated by thin dirt roads or embankments and display different colors due to variations in crop types, soil, or water conditions.
Resource Allocation

Investigated reinforcement learning techniques for optimizing resource allocation under constraints, contributing to improved safety boundary control in irrigation systems and enhancing overall agricultural efficiency.