Satellite monitoring of bio-fertilizer restoration in olive groves affected by Xylella fastidiosa subsp. pauca

Autor: Palma Blonda, Cristina Tarantino, Marco Scortichini, Sabino Maggi, Maria Tarantino, Maria Adamo

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)

Abstract Xylella fastidiosa subsp. pauca (Xfp), has attacked the olive trees in Southern Italy with severe impacts on the olive agro-ecosystem. To reduce both the Xfp cell concentration and the disease symptom, a bio-fertilizer restoration technique

Externí odkaz: https://doaj.org/article/9b46d8e451204ac1afe56671e5cd9a62

Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach

Autor: Aimé Lay-Ekuakille, John Djungha Okitadiowo, Moïse Avoci Ugwiri, Sabino Maggi, Rita Masciale, Giuseppe Passarella

Publikováno v: Sensors, Vol 21, Iss 12, p 4197 (2021)

The efficient and reliable monitoring of the flow of water in open channels provides useful information for preventing water slow-downs due to the deposition of materials within the bed of the channel, which might lead to critical floods. A reliable

Externí odkaz: https://doaj.org/article/82a61fd47c304f95be0ddbfab6747328

Forest Monitoring: Fires and Recovery in Alta Murgia: the MOIRA Project

Autor: Sabino Maggi, Maria Patrizia Adamo, Silvana Fuina, Cristina Tarantino, Saverio Vicario

The risk of wildfires has risen significantly in recent years, not just in Europe but around the world. In Italy alone, hundreds of thousands of hectares are burned each year, resulting in deaths, the destruction of forests and loss of biodiversity,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e1b1a0b3c656216db73f999889b2cab1
https://doi.org/10.5194/egusphere-egu23-15243

Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach

Autor: John Peter Djungha Okitadiowo, Moise Avoci Ugwiri, Rita Masciale, Sabino Maggi, Giuseppe Passarella, Aime Lay-Ekuakille

Publikováno v: Sensors, Vol 21, Iss 4197, p 4197 (2021)
Sensors
Volume 21
Issue 12
Sensors (Basel, Switzerland)

The efficient and reliable monitoring of the flow of water in open channels provides useful information for preventing water slow-downs due to the deposition of materials within the bed of the channel, which might lead to critical floods. A reliable

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aef6b9e2f01b09d3366bdf0018a2dd15
https://www.mdpi.com/1424-8220/21/12/4197

Retrospective analysis: A validation procedure for the redesign of an environmental monitoring network

Autor: Giuseppe Passarella, Aime Lay-Ekuakille, Delia Evelina Bruno, Emanuele Barca, Sabino Maggi

Publikováno v: Measurement (Lond., Print) 113 (2018): 211–219. doi:10.1016/j.measurement.2017.08.014
info:cnr-pdr/source/autori:Emanuele Barca, Delia E. Bruno, Aimé Lay-Ekuakille, Sabino Maggi, Giuseppe Passarella/titolo:Retrospective analysis: a validation procedure for the redesign of an environmental monitoring network/doi:10.1016%2Fj.measurement.2017.08.014/rivista:Measurement (Lond., Print)/anno:2018/pagina_da:211/pagina_a:219/intervallo_pagine:211–219/volume:113

Monitoring networks are essential tools for the effective management of vulnerable or limited environmental resources. Cost and logistics constraints often suggest to reduce the number of monitoring sites while minimizing the loss of information dete

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aaaa3ae6997944b7e0ba04d9b7e7aa6
https://doi.org/10.1016/j.measurement.2017.08.014