Simulation-governed design and tuning of greenhouses for successful bee pollination

Alan Dorin, Adrian Geoffrey Dyer, Timothy John Taylor, Zoe Elizabeth Bukovac

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

This paper presents a novel application of agent-based simulation software to tune real greenhouse infrastructure containing flowering seed or vegetable crop plants and their insect pollinators. Greenhouses provide controlled environments for the growth of high-value crops. As global climate and weather become more unpredictable, we are becoming more dependent upon technologically sophisticated greenhouses for reliable crop production. For crop pollination in a greenhouse, although manual or technological alternatives have been explored, pollination by bees is still required in many crops for the best seed yields and food quality. However, the design of greenhouses is driven primarily by the requirements of the plants rather than the pollinators. In light of this, we have designed simulations to explore improvements to greenhouse conditions and layout that benefit the insect pollinators and assist them to pollinate the crop. The software consists of an agent-based model of insect behaviour that is used to predict pollination outcomes under a range of conditions. The best parameters discovered in simulation can be used to adjust real greenhouse layouts. We present a key test case for our method, and discuss future work in which the technique has the potential to be applied in a continuous feedback loop providing predictions of greenhouse re-configurations that can be made by real-time control systems in a modern greenhouse. This is a novel approach linking simulation behaviour to real techno-ecological systems to improve crop and seed yield from valuable greenhouse infrastructure.
Original languageEnglish
Title of host publicationConference on Artificial Life 2018
Subtitle of host publicationA Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE)
EditorsTakashi Ikegami, Nathaniel Virgo, Olaf Witkowski, Mizuki Oka, Reiji Suzuki, Hiroyuki Iizuka
Place of PublicationCambridge MA USA
PublisherThe MIT Press
Pages171-178
Number of pages8
DOIs
Publication statusPublished - Jul 2018
EventConference on Artificial Life 2018 - Tokyo, Japan
Duration: 23 Jul 201827 Jul 2018
http://2018.alife.org/

Conference

ConferenceConference on Artificial Life 2018
Abbreviated titleALIFE 2018
CountryJapan
CityTokyo
Period23/07/1827/07/18
Internet address

Keywords

  • Agent-based model
  • simulation
  • greenhouse
  • pollination
  • bee
  • crop

Cite this

Dorin, A., Dyer, A. G., Taylor, T. J., & Bukovac, Z. E. (2018). Simulation-governed design and tuning of greenhouses for successful bee pollination. In T. Ikegami, N. Virgo, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Conference on Artificial Life 2018: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) (pp. 171-178). Cambridge MA USA: The MIT Press. https://doi.org/10.1162/isal_a_00038
Dorin, Alan ; Dyer, Adrian Geoffrey ; Taylor, Timothy John ; Bukovac, Zoe Elizabeth. / Simulation-governed design and tuning of greenhouses for successful bee pollination. Conference on Artificial Life 2018: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE). editor / Takashi Ikegami ; Nathaniel Virgo ; Olaf Witkowski ; Mizuki Oka ; Reiji Suzuki ; Hiroyuki Iizuka. Cambridge MA USA : The MIT Press, 2018. pp. 171-178
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title = "Simulation-governed design and tuning of greenhouses for successful bee pollination",
abstract = "This paper presents a novel application of agent-based simulation software to tune real greenhouse infrastructure containing flowering seed or vegetable crop plants and their insect pollinators. Greenhouses provide controlled environments for the growth of high-value crops. As global climate and weather become more unpredictable, we are becoming more dependent upon technologically sophisticated greenhouses for reliable crop production. For crop pollination in a greenhouse, although manual or technological alternatives have been explored, pollination by bees is still required in many crops for the best seed yields and food quality. However, the design of greenhouses is driven primarily by the requirements of the plants rather than the pollinators. In light of this, we have designed simulations to explore improvements to greenhouse conditions and layout that benefit the insect pollinators and assist them to pollinate the crop. The software consists of an agent-based model of insect behaviour that is used to predict pollination outcomes under a range of conditions. The best parameters discovered in simulation can be used to adjust real greenhouse layouts. We present a key test case for our method, and discuss future work in which the technique has the potential to be applied in a continuous feedback loop providing predictions of greenhouse re-configurations that can be made by real-time control systems in a modern greenhouse. This is a novel approach linking simulation behaviour to real techno-ecological systems to improve crop and seed yield from valuable greenhouse infrastructure.",
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author = "Alan Dorin and Dyer, {Adrian Geoffrey} and Taylor, {Timothy John} and Bukovac, {Zoe Elizabeth}",
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Dorin, A, Dyer, AG, Taylor, TJ & Bukovac, ZE 2018, Simulation-governed design and tuning of greenhouses for successful bee pollination. in T Ikegami, N Virgo, O Witkowski, M Oka, R Suzuki & H Iizuka (eds), Conference on Artificial Life 2018: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE). The MIT Press, Cambridge MA USA, pp. 171-178, Conference on Artificial Life 2018, Tokyo, Japan, 23/07/18. https://doi.org/10.1162/isal_a_00038

Simulation-governed design and tuning of greenhouses for successful bee pollination. / Dorin, Alan; Dyer, Adrian Geoffrey; Taylor, Timothy John; Bukovac, Zoe Elizabeth.

Conference on Artificial Life 2018: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE). ed. / Takashi Ikegami; Nathaniel Virgo; Olaf Witkowski; Mizuki Oka; Reiji Suzuki; Hiroyuki Iizuka. Cambridge MA USA : The MIT Press, 2018. p. 171-178.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

TY - GEN

T1 - Simulation-governed design and tuning of greenhouses for successful bee pollination

AU - Dorin, Alan

AU - Dyer, Adrian Geoffrey

AU - Taylor, Timothy John

AU - Bukovac, Zoe Elizabeth

PY - 2018/7

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N2 - This paper presents a novel application of agent-based simulation software to tune real greenhouse infrastructure containing flowering seed or vegetable crop plants and their insect pollinators. Greenhouses provide controlled environments for the growth of high-value crops. As global climate and weather become more unpredictable, we are becoming more dependent upon technologically sophisticated greenhouses for reliable crop production. For crop pollination in a greenhouse, although manual or technological alternatives have been explored, pollination by bees is still required in many crops for the best seed yields and food quality. However, the design of greenhouses is driven primarily by the requirements of the plants rather than the pollinators. In light of this, we have designed simulations to explore improvements to greenhouse conditions and layout that benefit the insect pollinators and assist them to pollinate the crop. The software consists of an agent-based model of insect behaviour that is used to predict pollination outcomes under a range of conditions. The best parameters discovered in simulation can be used to adjust real greenhouse layouts. We present a key test case for our method, and discuss future work in which the technique has the potential to be applied in a continuous feedback loop providing predictions of greenhouse re-configurations that can be made by real-time control systems in a modern greenhouse. This is a novel approach linking simulation behaviour to real techno-ecological systems to improve crop and seed yield from valuable greenhouse infrastructure.

AB - This paper presents a novel application of agent-based simulation software to tune real greenhouse infrastructure containing flowering seed or vegetable crop plants and their insect pollinators. Greenhouses provide controlled environments for the growth of high-value crops. As global climate and weather become more unpredictable, we are becoming more dependent upon technologically sophisticated greenhouses for reliable crop production. For crop pollination in a greenhouse, although manual or technological alternatives have been explored, pollination by bees is still required in many crops for the best seed yields and food quality. However, the design of greenhouses is driven primarily by the requirements of the plants rather than the pollinators. In light of this, we have designed simulations to explore improvements to greenhouse conditions and layout that benefit the insect pollinators and assist them to pollinate the crop. The software consists of an agent-based model of insect behaviour that is used to predict pollination outcomes under a range of conditions. The best parameters discovered in simulation can be used to adjust real greenhouse layouts. We present a key test case for our method, and discuss future work in which the technique has the potential to be applied in a continuous feedback loop providing predictions of greenhouse re-configurations that can be made by real-time control systems in a modern greenhouse. This is a novel approach linking simulation behaviour to real techno-ecological systems to improve crop and seed yield from valuable greenhouse infrastructure.

KW - Agent-based model

KW - simulation

KW - greenhouse

KW - pollination

KW - bee

KW - crop

U2 - 10.1162/isal_a_00038

DO - 10.1162/isal_a_00038

M3 - Conference Paper

SP - 171

EP - 178

BT - Conference on Artificial Life 2018

A2 - Ikegami, Takashi

A2 - Virgo, Nathaniel

A2 - Witkowski, Olaf

A2 - Oka, Mizuki

A2 - Suzuki, Reiji

A2 - Iizuka, Hiroyuki

PB - The MIT Press

CY - Cambridge MA USA

ER -

Dorin A, Dyer AG, Taylor TJ, Bukovac ZE. Simulation-governed design and tuning of greenhouses for successful bee pollination. In Ikegami T, Virgo N, Witkowski O, Oka M, Suzuki R, Iizuka H, editors, Conference on Artificial Life 2018: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE). Cambridge MA USA: The MIT Press. 2018. p. 171-178 https://doi.org/10.1162/isal_a_00038