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Phenobot: intelligent photonics for molecular phenotyping in precision viticulture

  • R. C. Martins*
  • , M. Cunha
  • , F. Santos
  • , R. Tosin
  • , T. G. Barroso
  • , F. Silva
  • , C. Queirós
  • , M. R. Pereira
  • , P. Moura
  • , T. Pinho
  • , J. Boaventura
  • , S. Magalhães
  • , A. S. Aguiar
  • , J. Silvestre
  • , M. Damásio
  • , R. Amador
  • , C. Barbosa
  • , C. Martins
  • , J. Araújo
  • , J. P. Vidal
  • F. Rodrigues, M. Maia, V. Rodrigues, A. Garcia, D. Raimundo, M. Trindade, C. Pestana, P. Maia
*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

The Phenobot platform is comprised by an autonomous robot, instrumentation, artificial intelligence, and digital twin diagnosis at the molecular level, marking the transition from pure data-driven to knowledge-driven agriculture 4.0, towards a physiology-based approach to precision viticulture. Such is achieved by measuring the plant metabolome 'in vivo' and 'in situ', using spectroscopy and artificial intelligence for quantifying metabolites, e.g.: i. grapes: chlorophylls a and b, pheophytins a and b, anthocyanins, carotenoids, malic and tartaric acids, glucose and fructose; ii. foliage: chlorophylls a and b, pheophytins a and b, anthocyanins, carotenoids, nitrogen, phosphorous, potassium, sugars, and leaf water potential; and iii. soil nutrients (NPK). The geo-referenced metabolic information of each plant (organs and tissues) is the basis of multi-scaled analysis: i. geo-referenced metabolic maps of vineyards at the macroscopic field level, and ii. genome-scale 'in-silico' digital twin model for inferential physiology (phenotype state) and omics diagnosis at the molecular and cellular levels (transcription, enzyme efficiency, and metabolic fluxes). Genome-scale 'in-silico' Vitis vinifera numerical network relationships and fluxes comprise the scientific knowledge about the plant's physiological response to external stimuli, being the comparable mechanisms between laboratory and field experimentation - providing a causal and interpretable relationship to a complex system subjected to external spurious interactions (e.g., soil, climate, and ecosystem) scrambling pure data-driven approaches. This new approach identifies the molecular and cellular targets for managing plant physiology under different stress conditions, enabling new sustainable agricultural practices and bridging agriculture with plant biotechnology, towards faster innovations (e.g. biostimulants, anti-microbial compounds/mechanisms, nutrition, and water management). Phenobot is a project under the Portuguese emblematic initiative in Agriculture 4.0, part of the Recovery and Resilience Plan (Ref. PRR: 190 Ref. 09/C05-i03/2021 - PRR-C05-i03-I-000134).
Original languageEnglish
Article number01018
Pages (from-to)1-6
Number of pages6
JournalBIO Web of Conferences
Volume68
DOIs
Publication statusPublished - 6 Dec 2023
Externally publishedYes
Event44th World Congress of Vine and Wine, OIV 2023 - Cadiz/Jerez, Spain
Duration: 5 Jun 2023 → 9 Jun 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

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