Abstract
| Original language | English |
|---|---|
| Title of host publication | Conference on Artificial Life 2018 |
| Subtitle of host publication | A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) |
| Editors | Takashi Ikegami, Nathaniel Virgo, Olaf Witkowski, Mizuki Oka, Reiji Suzuki, Hiroyuki Iizuka |
| Place of Publication | Cambridge MA USA |
| Publisher | The MIT Press |
| Pages | 171-178 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - Jul 2018 |
| Event | Conference on Artificial Life 2018 - Tokyo, Japan Duration: 23 Jul 2018 → 27 Jul 2018 http://2018.alife.org/ |
Conference
| Conference | Conference on Artificial Life 2018 |
|---|---|
| Abbreviated title | ALIFE 2018 |
| Country | Japan |
| City | Tokyo |
| Period | 23/07/18 → 27/07/18 |
| Internet address |
Keywords
- Agent-based model
- simulation
- greenhouse
- pollination
- bee
- crop
Cite this
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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 proceeding › Conference Paper › Research › peer-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
Y1 - 2018/7
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 -