Article Dans Une Revue Phytopathology Année : 2025

Opportunities and Challenges in Combining Optical Sensing and Epidemiological Modelling

1 UOR - University of Reading
2 Purdue University [West Lafayette]
3 Curtin University
4 Institute of Sugar Beet Research
5 JRC - European Commission - Joint Research Centre [Ispra]
6 Cornell University [New York]
7 The New Zealand Institute for Plant and Food Research Limited
8 VITO - Flemish Institute for Technological Research
9 UMR SAVE - Santé et agroécologie du vignoble
10 CAM - University of Cambridge [Cambridge, UK]
11 Scion [New Zealand]
12 Institut Agro Rennes Angers
13 IGEPP - Institut de Génétique, Environnement et Protection des Plantes
14 NIBIO - Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research
15 NCHU - National Chung Hsing University
16 POSTECH - Pohang University of Science and Technology
17 Embrapa - Brazilian Agricultural Research Corporation = Empresa Brasileira de Pesquisa Agropecuária
18 UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations] - The University of Queensland
19 University of Warwick [Coventry]
20 IBG-3 - Institute of Bio- and Geoscience
21 Unicatt - Università cattolica del Sacro Cuore [Piacenza e Cremona]
22 BioSP - Biostatistique et Processus Spatiaux
23 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Australia]
24 IPSP - Institute for Sustainable Plant Protection [Bari]
25 University of Mauritius
26 The Pirbright Institute [Woking, United Kingdom]
27 ISA - Institut Sophia Agrobiotech
28 MACBES - Modélisation et commande de systèmes biologiques et écologiques
29 CSIRO Ecosystem Sciences
30 IAS CSIC - Instituto de Agricultura Sostenible - Institute for Sustainable Agriculture
Alexey Mikaberidze
Ayalsew Zerihun
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Abel Barreto
R Calderon
Stuart Fraser
Kaitlin M. Gold
Anne-Katrin Mahlein
Emily Mclay
Stephen Parnell
Uwe Rascher
Sandhya D. Takooree

Résumé

Plant diseases impair yield and quality of crops and threaten the health of natural plant communities. Epidemiological models can predict disease and inform management. However, data are scarce, since traditional methods to measure plant diseases are resource intensive and this often limits model performance. Optical sensing offers a methodology to acquire detailed data on plant diseases across various spatial and temporal scales. Key technologies include multispectral, hyperspectral and thermal imaging, and light detection and ranging; the associated sensors can be installed on ground-based platforms, uncrewed aerial vehicles, aeroplanes and satellites. However, despite enormous potential for synergy, optical sensing and epidemiological modelling have rarely been integrated. To address this gap, we first review the state-of-the-art to develop a common language accessible to both research communities. We then explore the opportunities and challenges in combining optical sensing with epidemiological modelling. We discuss how optical sensing can inform epidemiological modelling by improving model selection and parameterisation and providing accurate maps of host plants. Epidemiological modelling can inform optical sensing by boosting measurement accuracy, improving data interpretation and optimising sensor deployment. We consider outstanding challenges in: A) identifying particular diseases; B) data availability, quality and resolution, C) linking optical sensing and epidemiological modelling, and D) emerging diseases. We conclude with recommendations to motivate and shape research and practice in both fields. Among other suggestions, we propose to standardise methods and protocols for optical sensing of plant health and develop open access databases including both optical sensing data and epidemiological models to foster cross-disciplinary work.

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hal-05100639 , version 1 (18-06-2025)

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Alexey Mikaberidze, C. D. Cruz, Ayalsew Zerihun, Abel Barreto, Pieter Beck, et al.. Opportunities and Challenges in Combining Optical Sensing and Epidemiological Modelling. Phytopathology, 2025, 115 (10), pp.1260-1285. ⟨10.1094/phyto-11-24-0359-fi⟩. ⟨hal-05100639⟩
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