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Related Concept Videos

Plant Tissue Culture02:57

Plant Tissue Culture

Plant tissue culture is widely used in both primary and applied science. Applications range from plant development studies to functional gene studies, crop improvement, commercial micropropagation, virus elimination, and conservation of rare species.
Morphogenesis02:19

Morphogenesis

Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

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.
Transgenic Plants02:50

Transgenic Plants

Recombinant DNA technology called transgenesis is often used to add a foreign gene or remove a detrimental gene from an organism. Such genetically modified organisms are called transgenic organisms.
The first-ever transgenic plant was a tobacco plant developed in 1983 that showed resistance against the tobacco mosaic virus. Since then, many transgenic plants have been developed and commercialized for improving the agricultural, ornamental, and horticultural value of a crop plant. Transgenic...
Introduction to Seed Plants03:40

Introduction to Seed Plants

Most plants are seed plants—characterized by seeds, pollen, and reduced gametophytes. Seed plants include gymnosperms and angiosperms.
Light Acquisition02:16

Light Acquisition

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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Related Experiment Video

Updated: Jul 16, 2026

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

From Prediction to Creation: Generative Plant Design.

Juan Ma1, Yanzhao Wang1, Jianshuang Qi1

  • 1Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.

Plants (Basel, Switzerland)
|July 15, 2026
PubMed
Summary

Generative AI is revolutionizing plant breeding by enabling de novo design for adaptive traits. A new dual-loop framework accelerates the design-build-test-learn cycle for climate-resilient crops.

Keywords:
Design–Build–Test–Learn cycledigital twinsgenerative AIgenerative plant designlatent space navigation

More Related Videos

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Related Experiment Videos

Last Updated: Jul 16, 2026

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Area of Science:

  • Plant Science
  • Artificial Intelligence
  • Genomics

Background:

  • Generative modeling is transforming plant breeding from predictive selection to de novo design.
  • The latent space offers a continuous, designable representation for plant traits.

Purpose of the Study:

  • To review generative methods for plant design.
  • To introduce a dual-loop AI-enhanced Design-Build-Test-Learn framework for accelerated plant design.

Main Methods:

  • Categorization of latent space navigation strategies: exploration, guidance, and optimization.
  • Proposal of a dual-loop framework with inner computational and outer experimental loops.
  • Proof-of-concept simulation for drought-tolerance design.

Main Results:

  • Demonstration of the dual-loop framework's logic and performance in drought-tolerance design.
  • Identification of five hierarchical challenges hindering real-world application.
  • Discussion of limitations and risks in data, model, regulatory, and interpretability.

Conclusions:

  • The proposed framework accelerates plant design for dynamic, adaptive, and climate-resilient breeding.
  • Addressing identified challenges is critical for realizing next-generation intelligent plant improvement.