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

Original Research

Accepted on 27 Feb 2025

MoSViT: A Lightweight Vision Transformer Framework for Efficient Disease Detection via Precision Attention Mechanism

in AI in Food, Agriculture and Water

元奇陈
爱萍王
子扬刘
杰岳
Zhang Enxu
飞李
宁张

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1498025

Original Research

Published on 03 Feb 2025

Deep learning and explainable AI for classification of potato leaf diseases

in AI in Food, Agriculture and Water

Sarah M. Alhammad
Doaa Sami Khafaga
Walaa M. El-hady
Farid M. Samy
Khalid M. Hosny

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1449329

1,031 views

Original Research

Published on 23 Jan 2025

Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision

in AI in Food, Agriculture and Water

Lucas Waltz
Sushma Katari
Chaeun Hong
Adit Anup
Julian Colbert
Anirudh Potlapally
Taylor Dill
Canaan Porter
John Engle
Christopher Stewart

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1496066

1,091 views

Perspective

Published on 23 Jan 2025

Enhancing Africa’s agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network

in AI in Food, Agriculture and Water

Nicholas Ozor
Joel Nwakaire
Alfred Nyambane
Wentland Muhatiah
Cynthia Nwobodo

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1472236

1,122 views

Original Research

Published on 23 Jan 2025

Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings

in AI in Food, Agriculture and Water

Quintana M. Clark
Disha Basavaraja Kanavikar
Jason Clark
Patrick J. Donnelly

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1429477

1,919 views

Original Research

Published on 23 Jan 2025

Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols

in AI in Food, Agriculture and Water

Shoji Taniguchi
Toshihiro Sakamoto
Haruki Nakamura
Yasunori Nonoue
Di Guan
Akari Fukuda
Hirofumi Fukuda
Kaede C. Wada
Takuro Ishii
Jun-Ichi Yonemaru

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1477637

512 views

Original Research

Published on 09 Jan 2025

Dynamic-budget superpixel active learning for semantic segmentation

in AI in Food, Agriculture and Water

Yuemin Wang
Ian Stavness

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1498956

694 views

Original Research

Published on 11 Dec 2024

A hybrid deep learning-based approach for optimal genotype by environment selection

in AI in Food, Agriculture and Water

Zahra Khalilzadeh
Motahareh Kashanian
Saeed Khaki
Lizhi Wang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1312115

870 views

Original Research

Published on 06 Dec 2024

What is in a food store name? Leveraging large language models to enhance food environment data

in AI in Food, Agriculture and Water

Analee J. Etheredge
Samuel Hosmer
Aldo Crossa
Rachel Suss
Mark Torrey

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1476950

1,128 views

Original Research

Published on 04 Dec 2024

Robust deep-learning based refrigerator food recognition

in AI in Food, Agriculture and Water

Xiaoyan Dai

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1442948

841 views

Original Research

Published on 30 Oct 2024

Real-time crop row detection using computer vision- application in agricultural robots

in AI in Food, Agriculture and Water

Md. Nazmuzzaman Khan
Adibuzzaman Rahi
Veera P. Rajendran
Mohammad Al Hasan
Sohel Anwar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1435686

1,541 views
1 citation

Perspective

Published on 25 Oct 2024

Large language models can help boost food production, but be mindful of their risks

in AI in Food, Agriculture and Water

Djavan De Clercq
Elias Nehring
Harry Mayne
Adam Mahdi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1326153

3,129 views
5 citations

Review

Published on 24 Sep 2024

Artificial intelligence and machine learning applications for cultured meat

in AI in Food, Agriculture and Water

Michael E. Todhunter
Sheikh Jubair
Ruchika Verma
Rikard Saqe
Kevin Shen
Breanna Duffy

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1424012

5,987 views
2 citations

Original Research

Published on 18 Sep 2024

Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction

in AI in Food, Agriculture and Water

Jana Kierdorf
Timo Tjarden Stomberg
Lukas Drees
Uwe Rascher
Ribana Roscher

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1416323

909 views

Original Research

Published on 27 Aug 2024

Bayesian model of tilling wheat confronting climatic and sustainability challenges

in AI in Food, Agriculture and Water

Qaisar Ali

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1402098

3,666 views

Original Research

Published on 16 Aug 2024

Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania

in AI in Food, Agriculture and Water

Flavia Mayo
Ciira Maina
Mvurya Mgala
Neema Mduma

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1384709

2,116 views
1 citation

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Articles

MoSViT: A Lightweight Vision Transformer Framework for Efficient Disease Detection via Precision Attention Mechanism

Deep learning and explainable AI for classification of potato leaf diseases

Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision

Enhancing Africa’s agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network

Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings

Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols

Dynamic-budget superpixel active learning for semantic segmentation

A hybrid deep learning-based approach for optimal genotype by environment selection

What is in a food store name? Leveraging large language models to enhance food environment data

Robust deep-learning based refrigerator food recognition

Real-time crop row detection using computer vision- application in agricultural robots

Large language models can help boost food production, but be mindful of their risks

Artificial intelligence and machine learning applications for cultured meat

Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction

Bayesian model of tilling wheat confronting climatic and sustainability challenges

Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania