Original Research

Published on 21 Feb 2023

Improving text mining in plant health domain with GAN and/or pre-trained language model

in AI in Food, Agriculture and Water

Shufan Jiang
Stéphane Cormier
Rafael Angarita
Francis Rousseaux

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1072329

2,108 views
5 citations

Brief Research Report

Published on 17 Feb 2023

Infant food users' perceptions of safety: A web-based analysis approach

in AI in Food, Agriculture and Water

Sherman Aline
Gilles Hubert
Yoann Pitarch
Rallou Thomopoulos

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1080950

1,267 views

Original Research

Published on 12 Jan 2023

Frost prediction using machine learning and deep neural network models

in AI in Food, Agriculture and Water

Carl J. Talsma
Kurt C. Solander
Maruti K. Mudunuru
Brandon Crawford
Michelle R. Powell

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.963781

4,500 views
14 citations

Review

Published on 10 Jan 2023

Crop genomic selection with deep learning and environmental data: A survey

in AI in Food, Agriculture and Water

Sheikh Jubair
Mike Domaratzki

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.1040295

5,999 views
14 citations

Original Research

Published on 04 Jan 2023

Predicting Escherichia coli levels in manure using machine learning in weeping wall and mechanical liquid solid separation systems

in AI in Food, Agriculture and Water

B. Dharmaveer Shetty
Noha Amaly
Bart C. Weimer
Pramod Pandey

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.921924

1,609 views
5 citations

Brief Research Report

Published on 22 Dec 2022

Structuring ontologies from natural language for collaborative scenario modeling in agri-food systems

in AI in Food, Agriculture and Water

Romy Lynn Chaib
Catherine Macombe
Rallou Thomopoulos

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.1056989

1,116 views

Original Research

Published on 08 Sep 2022

Improving plant disease classification by adaptive minimal ensembling

in AI in Food, Agriculture and Water

Antonio Bruno
Davide Moroni
Riccardo Dainelli
Leandro Rocchi
Silvia Morelli
Emilio Ferrari
Piero Toscano
Massimo Martinelli

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.868926

5,796 views
15 citations

Correction

Published on 01 Sep 2022

Corrigendum: Poultry diseases diagnostics models using deep learning

in AI in Food, Agriculture and Water

Dina Machuve
Ezinne Nwankwo
Neema Mduma
Jimmy Mbelwa

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.1016695

1,226 views
1 citation

Brief Research Report

Published on 01 Aug 2022

Poultry diseases diagnostics models using deep learning

in AI in Food, Agriculture and Water

Dina Machuve
Ezinne Nwankwo
Neema Mduma
Jimmy Mbelwa

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.733345

19,295 views
28 citations

Policy and Practice Reviews

Published on 29 Jul 2022

Recommendations for ethical and responsible use of artificial intelligence in digital agriculture

in AI in Food, Agriculture and Water

Rozita Dara
Seyed Mehdi Hazrati Fard
Jasmin Kaur

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.884192

20,450 views
37 citations

Original Research

Published on 04 Jul 2022

Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum

in AI in Food, Agriculture and Water

Zeyu Zhang
Madison Pope
Nadia Shakoor
Robert Pless
Todd C. Mockler
Abby Stylianou

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.872858

2,713 views
6 citations

Editorial

Published on 27 Jun 2022

Editorial: Artificial Intelligence and Machine Learning Applications in Plant Genomics and Genetics

in AI in Food, Agriculture and Water

Aalt D. J. van Dijk
Shin-Han Shiu
Dick de Ridder

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.959470

3,308 views
1 citation

Original Research

Published on 22 Jun 2022

Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning

in AI in Food, Agriculture and Water

Huanle Zhang
Nicharee Wisuthiphaet
Hemiao Cui
Nitin Nitin
Xin Liu
Qing Zhao

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.863261

5,013 views
2 citations

Original Research

Published on 26 May 2022

Predicting Tissue-Specific mRNA and Protein Abundance in Maize: A Machine Learning Approach

in AI in Food, Agriculture and Water

Kyoung Tak Cho
Taner Z. Sen
Carson M. Andorf

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.830170

3,184 views
1 citation

Original Research

Published on 20 May 2022

Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations

in AI in Food, Agriculture and Water

Iulian Gabur
Danut Petru Simioniuc
Rod J. Snowdon
Dan Cristea

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.876578

3,919 views
7 citations

Original Research

Published on 11 May 2022

Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification

in AI in Food, Agriculture and Water

Sakib Mostafa
Debajyoti Mondal
Michael A. Beck
Christopher P. Bidinosti
Christopher J. Henry
Ian Stavness

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.871162

7,676 views
7 citations

Navigation group

Articles

Improving text mining in plant health domain with GAN and/or pre-trained language model

Infant food users' perceptions of safety: A web-based analysis approach

Frost prediction using machine learning and deep neural network models

Crop genomic selection with deep learning and environmental data: A survey

Predicting Escherichia coli levels in manure using machine learning in weeping wall and mechanical liquid solid separation systems

Structuring ontologies from natural language for collaborative scenario modeling in agri-food systems

Improving plant disease classification by adaptive minimal ensembling

Corrigendum: Poultry diseases diagnostics models using deep learning

Poultry diseases diagnostics models using deep learning

Recommendations for ethical and responsible use of artificial intelligence in digital agriculture

Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum

Editorial: Artificial Intelligence and Machine Learning Applications in Plant Genomics and Genetics

Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning

Predicting Tissue-Specific mRNA and Protein Abundance in Maize: A Machine Learning Approach

Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations

Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification