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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
Biography
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
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
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 2
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
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
Dynamic Corn yield predictions using Machine Learning on Multi-Source Data for Agri-Food 4.0
Short description of portfolio item number 2 
publications
TURF-BOX: an active lighting multispectral imaging system with led VIS-NIR sources for monitoring of vegetated surfaces
Published in Acta Horticulturae, 2021
Recommended citation: Motisi, A., Impollonia, G., Minacapilli, M., Orlando, S., & Sarno, M. (2021). TURF-BOX: an active lighting multispectral imaging system with led VIS-NIR sources for monitoring of vegetated surfaces. In Acta Horticulturae (Issue 1314, pp. 383–390). International Society for Horticultural Science (ISHS). https://doi.org/10.17660/actahortic.2021.1314.48
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/10.1016/j.atech.2022.100067
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
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
Impact of Training Set Size and Lead Time on Early Tomato Crop Mapping Accuracy
Published in Remote Sensing MDPI, 2022
Recommended citation: Croci, M.; Impollonia, G.; Blandinières, H.; Colauzzi, M.; Amaducci, S. Impact of Training Set Size and Lead Time on Early Tomato Crop Mapping Accuracy. Remote Sens. 2022, 14, 4540. https://doi.org/10.3390/rs14184540
RTM Inversion through Predictive Equations for Multi-Crop LAI Retrieval Using Sentinel-2 Images
Published in Agronomy MDPI, 2022
Recommended citation: Croci, M.; Impollonia, G.; Marcone, A.; Antonucci, G.; Letterio, T.; Colauzzi, M.; Vignudelli, M.; Ventura, F.; Anconelli, S.; Amaducci, S. RTM Inversion through Predictive Equations for Multi-Crop LAI Retrieval Using Sentinel-2 Images. Agronomy 2022, 12, 2835. https://doi.org/10.3390/agronomy12112835
Comparison of PROSAIL Model Inversion Methods for Estimating Leaf Chlorophyll Content and LAI Using UAV Imagery for Hemp Phenotyping
Published in Remote Sensing MDPI, 2022
Recommended citation: Impollonia, G.; Croci, M.; Blandinières, H.; Marcone, A.; Amaducci, S. Comparison of PROSAIL Model Inversion Methods for Estimating Leaf Chlorophyll Content and LAI Using UAV Imagery for Hemp Phenotyping. Remote Sens. 2022, 14, 5801. https://doi.org/10.3390/rs14225801
Dynamic Maize Yield Predictions Using Machine Learning on Multi-Source Data
Published in Remote Sensing MDPI, 2022
Recommended citation: Croci M, Impollonia G, Meroni M, Amaducci S. Dynamic Maize Yield Predictions Using Machine Learning on Multi-Source Data. Remote Sensing. 2023; 15(1):100. https://doi.org/10.3390/rs15010100
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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.
Tecnico per il monitoraggio e la gestione del territorio e dell’ambiente
IFTS course, Centro di Formazione Vittorio Tadini, 2020
This is a description of a teaching experience. You can use markdown like any other post.
Tecnico per il monitoraggio e la gestione sostenibile delle risorse idriche
IFTS course, Centro di Formazione Vittorio Tadini, 2021
This is a description of a teaching experience. You can use markdown like any other post.