SOURCE-LINKED INTELLIGENCE
PlantShade: Predicting Plant Shadows for Lighting-Aware Robotic Agricultural Operation
Plant growth and agricultural production form the foundation of a country's sustainable development and directly impact human livelihoods. Recent advances in frontier artificial intelligence have enabled scientific agriculture with strong potential to improve crop productivity. In this paper, we identify the importance and inherent complexity of plant shade simulation, as shading is a critical factor influencing plant growth. To advance this field and promote broader societal benefits, we focus on two main contributions. First, we introduce a comprehensive plant growth and shade dataset coveri
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T20:28:03.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.