Abstract
The concept of intelligence is expanding beyond neural systems to include plants. Following this trend, we turn our focus on a key but undeveloped branch—plant embodied intelligence (PEI), where adaptive problem-solving activities emerge from dynamic interactions between distributed plant structures and their environment. Specifically, this review first outlines PEI's theoretical foundations and then proposes research avenues, including adaptive morphogenesis and growth, distributed information processing and memory, ecological communication and swarm-like behavior, and decision-making under risk and competition. Next, a comprehensive analysis of global research highlights pioneering work, spanning plant neurobiology, systems biology, and bio-inspired materials, while identifying critical gaps. Accordingly, a convergent methodology of quantitative phenotyping, molecular systems biology, ecological modeling, and plant-inspired robotics/software. Finally, we articulate how the pursuit of PEI can reciprocally advance both plant sciences and intelligent systems sciences, ultimately positioning plants as active collaborators for sustainable innovation.
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Claims 4
Claim · model-written summary
The review proposes research avenues for plant embodied intelligence, including adaptive morphogenesis and growth, distributed information processing and memory, ecological communication and swarm-like behavior, and decision-making under risk and competition.
- Taxon
- plantsViridiplantaee0
- Outcome
- research avenuese1
Verbatim
e0“expanding beyond neural systems to include plants”
e1“proposes research avenues, including adaptive morphogenesis and growth, distributed information processing and memory, ecological communication and swarm-like behavior, and decision-making under risk and competition”
Claim · model-written summary
A review of global research highlights pioneering work in plant neurobiology, systems biology and bio-inspired materials, and identifies critical gaps.
- Taxon
- plantsViridiplantaee0
- Outcome
- critical gapse2
Verbatim
e0“expanding beyond neural systems to include plants”
e2“a comprehensive analysis of global research highlights pioneering work, spanning plant neurobiology, systems biology, and bio-inspired materials, while identifying critical gaps”
Claim · model-written summary
A convergent methodology combining quantitative phenotyping, molecular systems biology, ecological modeling, and plant-inspired robotics/software is recommended for plant embodied intelligence.
Verbatim
t0“Plant embodied intelligence”
e3“a convergent methodology of quantitative phenotyping, molecular systems biology, ecological modeling, and plant-inspired robotics/software”
Claim · model-written summary
The pursuit of plant embodied intelligence can reciprocally advance plant sciences and intelligent systems sciences.
Verbatim
t0“Plant embodied intelligence”
e4“how the pursuit of PEI can reciprocally advance both plant sciences and intelligent systems sciences”