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2025 photonics for agrifood roadmap: towards a sustainable and healthier planet

Smeesters, L. ; Svanberg, S. LU and Mignani, A.G. (2025) In JPhys Photonics 7(3).
Abstract
Photonics technologies play a crucial role in driving technological advancements within the agrifood industry, aiming to deliver a sustainable food and agriculture, and offering healthy, nutritious and safe food for all of us. Particularly, optical sensors and imaging systems, together with machine-learning processing and advanced lighting, play a pivotal role in monitoring crop and soil health with unprecedented precision, while safeguarding the food supply chain. This roadmap aims to provide an overview of the state-of-the-art photonics technologies benefitting agrifood applications, including a view on their current limitations, challenges and future potential, while addressing practical case studies. Future trends towards multimodal... (More)
Photonics technologies play a crucial role in driving technological advancements within the agrifood industry, aiming to deliver a sustainable food and agriculture, and offering healthy, nutritious and safe food for all of us. Particularly, optical sensors and imaging systems, together with machine-learning processing and advanced lighting, play a pivotal role in monitoring crop and soil health with unprecedented precision, while safeguarding the food supply chain. This roadmap aims to provide an overview of the state-of-the-art photonics technologies benefitting agrifood applications, including a view on their current limitations, challenges and future potential, while addressing practical case studies. Future trends towards multimodal sensors and sensor fusion, artificial intelligence and digital twins, miniaturization and controlled farming are highlighted. The revolutionizing capabilities of the photonics technologies are indicated, inspiring future applications and developments, and paving the way towards optimized resource utilization, increased crop yields, stopping land degradation and reduction of food waste. © 2025 The Author(s). Published by IOP Publishing Ltd. (Less)
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Contribution to journal
publication status
published
subject
keywords
agriculture, agrifood industry, AI, machine learning, optical sensors, photonics, spectroscopy, Agri-food, Agricultural machinery, Crops, Food supply, Image processing, Learning algorithms, Learning systems, Machine learning, Waste utilization, Agri-food industry, Agrifood, Food supply chain, Machine-learning, Optical-, Photonics technology, Roadmap, Soil health, State of the art, Technological advancement, Optical sensors, Photonics
in
JPhys Photonics
volume
7
issue
3
article number
032501
publisher
IOP Publishing
external identifiers
  • scopus:105009933635
ISSN
2515-7647
DOI
10.1088/2515-7647/adbea9
language
English
LU publication?
yes
id
074e2093-c71e-4d8f-a726-c3da44e81576
date added to LUP
2026-03-17 14:57:24
date last changed
2026-03-17 14:58:04
@article{074e2093-c71e-4d8f-a726-c3da44e81576,
  abstract     = {{Photonics technologies play a crucial role in driving technological advancements within the agrifood industry, aiming to deliver a sustainable food and agriculture, and offering healthy, nutritious and safe food for all of us. Particularly, optical sensors and imaging systems, together with machine-learning processing and advanced lighting, play a pivotal role in monitoring crop and soil health with unprecedented precision, while safeguarding the food supply chain. This roadmap aims to provide an overview of the state-of-the-art photonics technologies benefitting agrifood applications, including a view on their current limitations, challenges and future potential, while addressing practical case studies. Future trends towards multimodal sensors and sensor fusion, artificial intelligence and digital twins, miniaturization and controlled farming are highlighted. The revolutionizing capabilities of the photonics technologies are indicated, inspiring future applications and developments, and paving the way towards optimized resource utilization, increased crop yields, stopping land degradation and reduction of food waste. © 2025 The Author(s). Published by IOP Publishing Ltd.}},
  author       = {{Smeesters, L. and Svanberg, S. and Mignani, A.G.}},
  issn         = {{2515-7647}},
  keywords     = {{agriculture; agrifood industry; AI; machine learning; optical sensors; photonics; spectroscopy; Agri-food; Agricultural machinery; Crops; Food supply; Image processing; Learning algorithms; Learning systems; Machine learning; Waste utilization; Agri-food industry; Agrifood; Food supply chain; Machine-learning; Optical-; Photonics technology; Roadmap; Soil health; State of the art; Technological advancement; Optical sensors; Photonics}},
  language     = {{eng}},
  number       = {{3}},
  publisher    = {{IOP Publishing}},
  series       = {{JPhys Photonics}},
  title        = {{2025 photonics for agrifood roadmap: towards a sustainable and healthier planet}},
  url          = {{http://dx.doi.org/10.1088/2515-7647/adbea9}},
  doi          = {{10.1088/2515-7647/adbea9}},
  volume       = {{7}},
  year         = {{2025}},
}