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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Main Authors: Laura-Jayne Gardiner, Ritesh Krishna
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Plants
Subjects:
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.
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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
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