Bluster or Lustre: Can AI Improve Crops and Plant Health?
In a changing climate where future food security is a growing concern, researchers are exploring new methods and technologies in the effort to meet ambitious crop yield targets. The application of Artificial Intelligence (AI) including Machine Learning (ML) methods in this area has been proposed as...
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Format: | Article |
Language: | English |
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MDPI AG
2021-12-01
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Series: | Plants |
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Online Access: | https://www.mdpi.com/2223-7747/10/12/2707 |
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author | Laura-Jayne Gardiner Ritesh Krishna |
author_facet | Laura-Jayne Gardiner Ritesh Krishna |
author_sort | Laura-Jayne Gardiner |
collection | DOAJ |
description | In a changing climate where future food security is a growing concern, researchers are exploring new methods and technologies in the effort to meet ambitious crop yield targets. The application of Artificial Intelligence (AI) including Machine Learning (ML) methods in this area has been proposed as a potential mechanism to support this. This review explores current research in the area to convey the state-of-the-art as to how AI/ML have been used to advance research, gain insights, and generally enable progress in this area. We address the question—Can AI improve crops and plant health? We further discriminate the bluster from the lustre by identifying the key challenges that AI has been shown to address, balanced with the potential issues with its usage, and the key requisites for its success. Overall, we hope to raise awareness and, as a result, promote usage, of AI related approaches where they can have appropriate impact to improve practices in agricultural and plant sciences. |
first_indexed | 2024-03-10T03:16:42Z |
format | Article |
id | doaj.art-9db04ff45dfc4bfdb14b04c7d254828b |
institution | Directory Open Access Journal |
issn | 2223-7747 |
language | English |
last_indexed | 2024-03-10T03:16:42Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Plants |
spelling | doaj.art-9db04ff45dfc4bfdb14b04c7d254828b2023-11-23T10:12:01ZengMDPI AGPlants2223-77472021-12-011012270710.3390/plants10122707Bluster or Lustre: Can AI Improve Crops and Plant Health?Laura-Jayne Gardiner0Ritesh Krishna1IBM Research Europe, The Hartree Centre, Warrington WA4 4AD, UKIBM Research Europe, The Hartree Centre, Warrington WA4 4AD, UKIn a changing climate where future food security is a growing concern, researchers are exploring new methods and technologies in the effort to meet ambitious crop yield targets. The application of Artificial Intelligence (AI) including Machine Learning (ML) methods in this area has been proposed as a potential mechanism to support this. This review explores current research in the area to convey the state-of-the-art as to how AI/ML have been used to advance research, gain insights, and generally enable progress in this area. We address the question—Can AI improve crops and plant health? We further discriminate the bluster from the lustre by identifying the key challenges that AI has been shown to address, balanced with the potential issues with its usage, and the key requisites for its success. Overall, we hope to raise awareness and, as a result, promote usage, of AI related approaches where they can have appropriate impact to improve practices in agricultural and plant sciences.https://www.mdpi.com/2223-7747/10/12/2707AImachine learningcropsplant HEALTHomicsdisruptive technologies |
spellingShingle | Laura-Jayne Gardiner Ritesh Krishna Bluster or Lustre: Can AI Improve Crops and Plant Health? Plants AI machine learning crops plant HEALTH omics disruptive technologies |
title | Bluster or Lustre: Can AI Improve Crops and Plant Health? |
title_full | Bluster or Lustre: Can AI Improve Crops and Plant Health? |
title_fullStr | Bluster or Lustre: Can AI Improve Crops and Plant Health? |
title_full_unstemmed | Bluster or Lustre: Can AI Improve Crops and Plant Health? |
title_short | Bluster or Lustre: Can AI Improve Crops and Plant Health? |
title_sort | bluster or lustre can ai improve crops and plant health |
topic | AI machine learning crops plant HEALTH omics disruptive technologies |
url | https://www.mdpi.com/2223-7747/10/12/2707 |
work_keys_str_mv | AT laurajaynegardiner blusterorlustrecanaiimprovecropsandplanthealth AT riteshkrishna blusterorlustrecanaiimprovecropsandplanthealth |