Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)

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An Open Dataset of Labelled Tropical Crops

Authors
Jade Chattergoon1, *, Fazeeia Mohammed1, Kimberley Gillette1, Brittany Peters1, Patrick Hosein1
1The University of the West Indies, St. Augustine, Trinidad
*Corresponding author. Email: jadec.projects@gmail.com
Corresponding Author
Jade Chattergoon
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-122-7_3How to use a DOI?
Keywords
Artificial Intelligence; Open Data; Precision Farming; Resilience; Smart agriculture
Abstract

Small Island Developing States (SIDS) are particularly susceptible to the detrimental effects of Climate Change. Issues such as food security have been given increased attention over the last few years and this has sped up with the transportation and logistical issues faced during the COVID pandemic. Farmers must now increase yield to increase food security while battling the effects of climate change. Technologies such as Artificial Intelligence can assist but the data needed to train these algorithms are not available for SIDS and so development in these areas are limited. We received a National Geographic Grant to investigate the application of Artificial Intelligence to Precision Agriculture in SIDS and one of the required steps was the collection of data for training Machine Learning algorithms. This required collection of data (using Unmanned Aerial Vehicles or Drones), processing of the data, labelling of the data and then development of suitable algorithms for problems such as Weed Detection, Water Stress detection and other potential problems. We are making this dataset available to the public on an Open Data platform that we developed and which is located at data.tt. This paper describes the data that is being shared, how it can be accessed and examples of how it can be used.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
Series
Advances in Biological Sciences Research
Publication Date
22 May 2023
ISBN
978-94-6463-122-7
ISSN
2468-5747
DOI
10.2991/978-94-6463-122-7_3How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jade Chattergoon
AU  - Fazeeia Mohammed
AU  - Kimberley Gillette
AU  - Brittany Peters
AU  - Patrick Hosein
PY  - 2023
DA  - 2023/05/22
TI  - An Open Dataset of Labelled Tropical Crops
BT  - Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
PB  - Atlantis Press
SP  - 24
EP  - 34
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-122-7_3
DO  - 10.2991/978-94-6463-122-7_3
ID  - Chattergoon2023
ER  -