Methods
Published on 16 Oct 2023
C3PO: a crop planning and production process ontology and knowledge graph
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1187090
- 2,576 views
- 1 citation
Type at least 3 characters
68 articles
Articles
Methods
Published on 04 Oct 2023
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1209507
- 2,473 views
- 1 citation
Methods
Published on 27 Sep 2023
Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1188036
- 1,272 views
Technology and Code
Published on 25 Sep 2023
mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1227950
- 4,560 views
- 3 citations
Review
Published on 19 Sep 2023
Explainable deep learning in plant phenotyping
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1203546
- 4,278 views
- 11 citations
Review
Published on 31 Aug 2023
Mobile robotics in smart farming: current trends and applications
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1213330
- 10,370 views
- 19 citations
Original Research
Published on 17 Aug 2023
Mapping cover crop species in southeastern Michigan using Sentinel-2 satellite data and Google Earth Engine
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1035502
- 1,948 views
- 1 citation
Original Research
Published on 03 Aug 2023
Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1191122
- 3,610 views
Original Research
Published on 06 Jul 2023
Inside out: transforming images of lab-grown plants for machine learning applications in agriculture
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1200977
- 1,791 views
- 4 citations
Conceptual Analysis
Published on 04 Jul 2023
Ontological how and why: action and objective of planned processes in the food domain
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1137961
- 1,762 views
Original Research
Published on 19 Jun 2023
EPPO ontology: a semantic-driven approach for plant and pest codes representation
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1131667
- 2,573 views
Original Research
Published on 13 Jun 2023
Using knowledge graphs to infer gene expression in plants
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1201002
- 2,612 views
- 2 citations
Editorial
Published on 16 May 2023
Editorial: Computer vision in plant phenotyping and agriculture
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1187301
- 2,066 views
- 3 citations
Original Research
Published on 28 Apr 2023
Integrating collective know-how for multicriteria decision support in agrifood chains—application to cheesemaking
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1145007
- 1,424 views
Original Research
Published on 26 Apr 2023
A field-based recommender system for crop disease detection using machine learning
in AI in Food, Agriculture and Water
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1010804
- 5,476 views
- 3 citations
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
Frontiers in Artificial Intelligence
doi 10.3389/frai.2023.1072329
- 2,102 views
- 5 citations