Paper · 2024 · Biomimetics

Biofeedback-Based Closed-Loop Phytoactuation in Vertical Farming and Controlled-Environment Agriculture

Serge Kernbach

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claims
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verbatim quotes
10
citations
3
research areas
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Open access · cc-by

Abstract

This work focuses on biohybrid systems—plants with biosensors and actuating mechanisms that enhance the ability of biological organisms to control environmental parameters, to optimize growth conditions or to cope with stress factors. Biofeedback-based phytoactuation represents the next step of development in hydroponics, vertical farming and controlled-environment agriculture. The sensing part of the discussed approach uses (electro)physiological sensors. The hydrodynamics of fluid transport systems, estimated electrochemically, is compared with sap flow data provided by heat-based methods. In vivo impedance spectroscopy enables the discrimination of water, nutrient and photosynthates in the plant stem. Additionally to plant physiology, the system measures several air/soil and environmental parameters. The actuating part includes a multi-channel power module to control phytolight, irrigation, fertilization and air/water preparation. We demonstrate several tested in situ applications of a closed-loop control based on real-time biofeedback. In vertical farming, this is used to optimize energy and water consumption, reduce growth time and detect stress. Biofeedback was able to reduce the microgreen production cycle from 7 days to 4–5 days and the production of wheatgrass from 10 days to 7–8 days, and, in combination with biofeedback-based irrigation, a 30% increase in pea biomass was achieved. Its energy optimization can reach 25–30%. In environmental monitoring, the system performs the biological monitoring of environmental pollution (a low concentration of O3) with tomato and tobacco plants. In AI research, a complex exploration of biological organisms, and in particular the adaptation mechanisms of circadian clocks to changing environments, has been shown. This paper introduces a phytosensor system, describes its electrochemical measurements and discusses its tested applications.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

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Claims 6

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

In vivo impedance spectroscopy distinguished water, nutrient and photosynthates in plant stems.

Taxon
plante0
Outcome
discrimination of water, nutrient and photosynthatese0

Not reportedComparatorValue

Verbatim

e0

“In vivo impedance spectroscopy enables the discrimination of water, nutrient and photosynthates in the plant stem.”

✓ located verbatim in the source · abstract, characters 599–713 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Biofeedback shortened the microgreen production cycle from seven days to four to five days.

Taxon
microgreene0
Treatment
Biofeedbacke0
Outcome
microgreen production cyclee0
Direction
reducee0
Value
4–5 dayse0
Comparator
7 dayse0

Verbatim

e0

“Biofeedback was able to reduce the microgreen production cycle from 7 days to 4–5 days”

✓ located verbatim in the source · abstract, characters 1170–1256 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Biofeedback shortened wheatgrass production from ten days to seven to eight days.

Taxon
wheatgrasse0
Treatment
Biofeedbacke1
Outcome
production of wheatgrasse0
Value
7–8 dayse0
Comparator
10 dayse0

Not reportedDirection

Verbatim

e0

“the production of wheatgrass from 10 days to 7–8 days”

✓ located verbatim in the source · abstract, characters 1261–1314 · show in text ↑
e1

“Biofeedback was able to reduce the microgreen production cycle from 7 days to 4–5 days and the production of wheatgrass from 10 days to 7–8 days”

✓ located verbatim in the source · abstract, characters 1170–1314 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Biofeedback irrigation increased pea biomass by 30%.

Treatment
biofeedback-based irrigatione0
Outcome
pea biomasse0
Direction
increasee0
Value
30%e0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Lathyrus oleraceus
Lathyrus oleraceus · TaxonRenee Comet (photographer) AV Number: AV-9400-4164 · Public domain · Wikimedia Commons ↗

Verbatim

e0

“in combination with biofeedback-based irrigation, a 30% increase in pea biomass was achieved.”

✓ located verbatim in the source · abstract, characters 1321–1414 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Energy optimization with the system can reach 25–30%.

Outcome
energy optimizatione0
Value
25–30%e0

Not reportedTaxon

Verbatim

e0

“Its energy optimization can reach 25–30%.”

✓ located verbatim in the source · abstract, characters 1415–1456 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The system biologically monitored low-concentration O3 pollution with tomato and tobacco plants.

Taxon
tomato and tobacco plantsSolanum lycopersicumNicotiana tabacume0
Outcome
biological monitoring of environmental pollutione0
Qualifier
a low concentration of O3e0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗
Nicotiana tabacum
Nicotiana tabacum · TaxonJom / Joachim Müllerchen · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“the system performs the biological monitoring of environmental pollution (a low concentration of O3) with tomato and tobacco plants.”

✓ located verbatim in the source · abstract, characters 1486–1618 · show in text ↑

irrigation · growth · Lathyrus oleraceus (pea)Positive and negative results

24 papers: 14 positive, 10 negative or no effect

13 papers in the same direction as this paper · 10 in the opposite direction

  1. no effect
  2. negative
  3. negative

20 papers more in this group

See all 24 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.