iShape3DSeed | Creating a novel, innovative toolkit for the identification of agricultural management regimes in the past using seed shape

Summary
Research on modern seeds has shown that their shape reflects the influence of environmental growth conditions, including cultivation regimes. However, no modern agronomical or archaeobotanical studies have so far exploited this immense potential of information encompassed in seed shape. The main reason is that shape in these disciplines is currently studied using geometric morphometrics (GMM) but, largely due to the small size of grains, this is limited to 2D and semi-3D landmark measurements that cannot take advantage of the full, complex shape of the crops. iShape3DSeed will tackle this problem by employing cutting-edge emerging technologies and a novel combination of high-resolution 3D modelling of seeds, geometric morphometrics and machine learning (ML). The aim is to develop a novel, non-destructive and low-cost methodological toolkit that will allow using the full 3D shape of seeds to provide in-depth interpretations on agricultural management and distinguish environmental impact. To do so iShape3DSeed will focus on cereals and will use material from the Greek Genetic Bank that includes pre-mechanisation crops with their growing information, experimental cultivation of traditional cereal varieties, and archaeological material from four Aegean Bronze Age sites. The modern material will be used to develop and test the new toolkit, and the ancient to allow and test its archaeological application. The modern material will be also experimentally charred to test preservation impact on shape. The seeds will be reconstructed using micro 3D photogrammetry and will then be subjected to 3D GMM and surface texture analyses. The data obtained will be fed into purposely developed ML algorithms to classify and match shape and agricultural data. iShape3DSeed will provide thus a new means to identify agricultural management regimes in archaeological seed assemblages solely using the full shape of cereal seeds, pushing the frontiers of archaeobotany.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/892502
Start date: 02-11-2020
End date: 30-11-2023
Total budget - Public funding: 172 932,48 Euro - 172 932,00 Euro
Cordis data

Original description

Research on modern seeds has shown that their shape reflects the influence of environmental growth conditions, including cultivation regimes. However, no modern agronomical or archaeobotanical studies have so far exploited this immense potential of information encompassed in seed shape. The main reason is that shape in these disciplines is currently studied using geometric morphometrics (GMM) but, largely due to the small size of grains, this is limited to 2D and semi-3D landmark measurements that cannot take advantage of the full, complex shape of the crops. iShape3DSeed will tackle this problem by employing cutting-edge emerging technologies and a novel combination of high-resolution 3D modelling of seeds, geometric morphometrics and machine learning (ML). The aim is to develop a novel, non-destructive and low-cost methodological toolkit that will allow using the full 3D shape of seeds to provide in-depth interpretations on agricultural management and distinguish environmental impact. To do so iShape3DSeed will focus on cereals and will use material from the Greek Genetic Bank that includes pre-mechanisation crops with their growing information, experimental cultivation of traditional cereal varieties, and archaeological material from four Aegean Bronze Age sites. The modern material will be used to develop and test the new toolkit, and the ancient to allow and test its archaeological application. The modern material will be also experimentally charred to test preservation impact on shape. The seeds will be reconstructed using micro 3D photogrammetry and will then be subjected to 3D GMM and surface texture analyses. The data obtained will be fed into purposely developed ML algorithms to classify and match shape and agricultural data. iShape3DSeed will provide thus a new means to identify agricultural management regimes in archaeological seed assemblages solely using the full shape of cereal seeds, pushing the frontiers of archaeobotany.

Status

TERMINATED

Call topic

MSCA-IF-2019

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2019
MSCA-IF-2019