Frontiers in Artificial Intelligence | AI in Food, Agriculture and Water

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

3,537 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

5,181 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

3,317 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

4,093 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

8,003 views
7 citations

Original Research

Published on 25 Mar 2022

Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks

in AI in Food, Agriculture and Water

Jana Kierdorf
Immanuel Weber
Anna Kicherer
Laura Zabawa
Lukas Drees
Ribana Roscher

Frontiers in Artificial Intelligence

doi 10.3389/frai.2022.830026

4,542 views
27 citations

Original Research

Published on 25 Feb 2022

High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales

in AI in Food, Agriculture and Water

Lyndon D. Estes
Su Ye
Lei Song
Boka Luo
J. Ronald Eastman
Zhenhua Meng
Qi Zhang
Dennis McRitchie
Stephanie R. Debats
Justus Muhando

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.744863

8,309 views
25 citations

Original Research

Published on 11 Jan 2022

Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms

in AI in Food, Agriculture and Water

Matthew D. Stocker
Yakov A. Pachepsky
Robert L. Hill

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.768650

4,584 views
8 citations

Original Research

Published on 10 Dec 2021

Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins of Gentiana rigescens Franch

in AI in Food, Agriculture and Water

Xiaolong Li
Wenwen Kong
Xiaoli Liu
Xi Zhang
Wei Wang
Rongqin Chen
Yongqi Sun
Fei Liu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.735533

2,150 views
4 citations

Original Research

Published on 28 May 2021

Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt

in AI in Food, Agriculture and Water

Tianfang Xu
Kaiyu Guan
Bin Peng
Shiqi Wei
Lei Zhao

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.647999

5,319 views
6 citations

Original Research

Published on 14 May 2021

Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water

in AI in Food, Agriculture and Water

Daniel L. Weller
Tanzy M. T. Love
Martin Wiedmann

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.628441

6,155 views
20 citations

Editorial

Published on 13 May 2021

Editorial: Machine Learning for Water Resources

in AI in Food, Agriculture and Water

Gregoire Mariethoz
J. Jaime Gómez-Hernández

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.699862

2,880 views
5 citations

Original Research

Published on 22 Apr 2021

Nudging Healthy Choices in Food Search Through Visual Attractiveness

in AI in Food, Agriculture and Water

Alain D. Starke
Martijn C. Willemsen
Christoph Trattner

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.621743

10,343 views
32 citations

Original Research

Published on 15 Apr 2021

An Application of an Embedded Model Estimator to a Synthetic Nonstationary Reservoir Model With Multiple Secondary Variables

in AI in Food, Agriculture and Water

Colin Daly

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.624697

2,428 views
4 citations

Original Research

Published on 15 Apr 2021

Machine Learning Analysis of Hydrologic Exchange Flows and Transit Time Distributions in a Large Regulated River

in AI in Food, Agriculture and Water

Huiying Ren
Xuehang Song
Yilin Fang
Z. Jason Hou
Timothy D. Scheibe

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.648071

3,182 views
12 citations

Original Research

Published on 01 Apr 2021

Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features

in AI in Food, Agriculture and Water

Guangzong Chen
Wenyan Jia
Yifan Zhao
Zhi-Hong Mao
Benny Lo
Alex K. Anderson
Gary Frost
Modou L. Jobarteh
Megan A. McCrory
Edward Sazonov

Frontiers in Artificial Intelligence

doi 10.3389/frai.2021.644712

5,086 views
7 citations

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Articles

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

Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks

High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales

Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms

Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins of Gentiana rigescens Franch

Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt

Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water

Editorial: Machine Learning for Water Resources

Nudging Healthy Choices in Food Search Through Visual Attractiveness

An Application of an Embedded Model Estimator to a Synthetic Nonstationary Reservoir Model With Multiple Secondary Variables

Machine Learning Analysis of Hydrologic Exchange Flows and Transit Time Distributions in a Large Regulated River

Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features