Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning

Autor: Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi, Raffaele Zanoli

Publikováno v: Agronomy, Vol 14, Iss 1, p 109 (2024)

Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasti

Externí odkaz: https://doaj.org/article/08392dc89ef94237be5bd7a7a06cbdf4

GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs

Autor: Luca Coviello, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello

Publikováno v: Applied Sciences, Vol 10, Iss 14, p 4870 (2020)

We introduce here the Grape Berries Counting Net (GBCNet), a tool for accurate fruit yield estimation from smartphone cameras, by adapting Deep Learning algorithms originally developed for crowd counting. We test GBCNet using cross-validation procedu

Externí odkaz: https://doaj.org/article/eeaee14b282a4da9b9964b5877de1c6f

Clustering of Remotely Sensed Time Series using Functional Principal Component Analysis to Monitor Crops

Autor: Luca Coviello, Francesco Maria Martini, Lorenzo Cesaretti, Simone Pesaresi, Francesco Solfanelli, Adriano Mancini

Publikováno v: 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::568c8d676a2f923da273983315bd943e
https://doi.org/10.1109/metroagrifor55389.2022.9964799

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

Autor: Marta Pendesini, Giuseppe Jurman, Valerio Maggio, Cesare Furlanello, Gabriele Franch, Luca Coviello

Publikováno v: Scientific Data
Franch, G, Maggio, V, Coviello, L, Pendesini, M, Jurman, G & Furlanello, C 2020, ' TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting ', Scientific Data, vol. 7, 234 (2020) . https://doi.org/10.1038/s41597-020-0574-8
Scientific Data, Vol 7, Iss 1, Pp 1-13 (2020)

We introduce TAASRAD19, a high-resolution radar reflectivity dataset collected by the Civil Protection weather radar of the Trentino South Tyrol Region, in the Italian Alps. The dataset includes 894,916 timesteps of precipitation from more than 9 yea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e05188b3b9b568dcc8934cb5d9facb5
https://doi.org/10.1038/s41597-020-0574-8

EYE-C: Eye-Contact Robust Detection and Analysis during Unconstrained Child-Therapist Interactions in the Clinical Setting of Autism Spectrum Disorders

Autor: Luca Coviello, Cesare Furlanello, Gianpaolo Alvari

Publikováno v: Brain Sciences
Brain Sciences, Vol 11, Iss 1555, p 1555 (2021)
Brain Sciences; Volume 11; Issue 12; Pages: 1555

The high level of heterogeneity in Autism Spectrum Disorder (ASD) and the lack of systematic measurements complicate predicting outcomes of early intervention and the identification of better-tailored treatment programs. Computational phenotyping may

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5286a79ca45cdd64574c9b9e6ea27211
https://doi.org/10.3390/brainsci11121555