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Updated: May 3, 2026

Robotic Sensing and Stimuli Provision for Guided Plant Growth
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Published on: July 1, 2019

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自然の発見から人工知能による設計へ:作物工学のためのコンパクト強化器の整理されたコレクション

Qi Yao1, Jin Gao2, Keling Wang1

  • 1Shanghai Collaborative Innovation Center of Agri-Seeds, Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 5, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
AI駆動型デザインcis 規制要素農作物の改良全ゲノムスクリーニング

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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