Michele Croci

Michele Croci

Agronomist | EO Data scientist 🌱🛰

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

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Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

1) Ground Truthing and Physiological Validation of Vis-NIR Spectral Indices for Early Diagnosis of Nitrogen Deficiency in cv. Barbera (Vitis vinifera L.) Grapevines

Published in Agronomy, 2019

Recommended citation: Squeri, C., Gatti, M., Garavani, A., Vercesi, A., Buzzi, M., Croci, M., Calegari, F., Vincini, M., & Poni, S. (2019). Ground Truthing and Physiological Validation of Vis-NIR Spectral Indices for Early Diagnosis of Nitrogen Deficiency in cv. Barbera (Vitis vinifera L.) Grapevines. In Agronomy (Vol. 9, Issue 12, p. 864). MDPI AG. https://doi.org/10.3390/agronomy9120864

2) Integration of Gas Exchange With Metabolomics: High-Throughput Phenotyping Methods for Screening Biostimulant-Elicited Beneficial Responses to Short-Term Water Deficit

Published in Frontiers in Plant Science, 2021

Recommended citation: Antonucci, G., Croci, M., Miras-Moreno, B., Fracasso, A., & Amaducci, S. (2021). Integration of Gas Exchange With Metabolomics: High-Throughput Phenotyping Methods for Screening Biostimulant-Elicited Beneficial Responses to Short-Term Water Deficit. In Frontiers in Plant Science (Vol. 12). Frontiers Media SA. https://doi.org/10.3389/fpls.2021.678925

3) Evaluating Biostimulants Via High-Throughput Field Phenotyping: Biophysical Traits Retrieval Through PROSAIL Inversion

Published in Smart Agricultural Technology, 2022

Recommended citation: Antonucci, G., Impollonia, G., Croci, M., Potenza, E., Marcone, A., & Amaducci, S. (2022). Evaluating Biostimulants Via High-Throughput Field Phenotyping: Biophysical Traits Retrieval Through PROSAIL Inversion. Smart Agricultural Technology, 100067. https://doi.org/https://doi.org/10.1016/j.atech.2022.100067

4) Moisture content estimation and senescence phenotyping of novel Miscanthus hybrids combining UAV-based remote sensing and machine learning

Published in GCB Bioenergy, 2022

Recommended citation: Impollonia, G., Croci, M., Martani, E., Ferrarini, A., Kam, J., Trindade, L. M., Clifton-Brown, J., & Amaducci, S. (2022). Moisture content estimation and senescence phenotyping of novel Miscanthus hybrids combining UAV-based remote sensing and machine learning. GCB Bioenergy, 14, 639– 656. https://doi.org/10.1111/gcbb.12930

5) UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques

Published in Remote Sensing MDPI, 2022

Recommended citation: Impollonia, G.; Croci, M.; Ferrarini, A.; Brook, J.; Martani, E.; Blandinières, H.; Marcone, A.; Awty-Carroll, D.; Ashman, C.; Kam, J.; Kiesel, A.; Trindade, L.M.; Boschetti, M.; Clifton-Brown, J.; Amaducci, S. UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques. Remote Sens. 2022, 14, 2927. https://doi.org/10.3390/rs14122927

13) Multi-environment assessment of a yellow hemp (Cannabis sativa L.) cultivar’s eco-physiology and productivity under varying levels of nitrogen fertilisation

Published in Industrial Crops and Products, 2022

Recommended citation: Blandinières, H., Croci, M., Impollonia, G., Marcone, A., Gay, A., Winters, A., … Amaducci, S. (2023). Multi-environment assessment of a yellow hemp (Cannabis sativa L.) cultivar’s eco-physiology and productivity under varying levels of nitrogen fertilisation. Industrial Crops and Products, 195(116360), 116360. doi:10.1016/j.indcrop.2023.116360

talks

teaching

Agricoltura di precisione

course, Centro di formazione Dinamica, 2019

This is a description of a teaching experience. You can use markdown like any other post.

Esercitazione corso di Modellistica applicata alle coltivazioni erbacee

Laurea Magistrale in Agricoltura sostenibile e di precisione, FacoltĂ  di Agraria, UniversitĂ  Cattolica del Sacro Cuore, Sede di Piacenza, 2023

Argomenti trattati:

  • Simulazioni tramite software modello DAISY
    • Installazione e configurazione Daisy
    • Definizione orizzonti del suolo
    • Definizione sistemi di irrigazione
    • Confronto diverse gestione dei residui
    • Confronto diverse combinazioni fertilizzazione e gestione dei residui

Esercitazione corso di Coltivazioni Erbacee

Laurea triennale in Scienze e Tecnologie Agrarie, FacoltĂ  di Agraria, UniversitĂ  Cattolica del Sacro Cuore, Sede di Piacenza, 2023

Argomenti trattati:

  • Fertilizzazione azotata: Esercizi su bilancio analitico
  • Irrigazione: Esercizi su bilancio idrico