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A mathematical model for spatial concentration of Xylella fastidiosa

An eco-epidemiologial model of Xylella fastidiosa outbreaks

An effective approach for automatic river features extraction using high-resolution UAV imagery

Bistability of a mathematical model for the control of an olive tree disease

CNN crop classifications on multi-GPU architectures

Control, stability and its applications

Deep learning for Multimodal sensors fusion in remote sensing

Deep Learning for Soil Mapping

Detecting asymptomatic infections of olive quick decline syndrome using hyperspectral data analysis

Drone-Tech: a new AI approach for smart cities illegal waste contrast

Fruit detection by collaborative robots and machine learning methods. A case study on pomegranate

Introduction 2nd afternoon session

Introduction to the 1st afternoon session

Introduction to the 1st morning session

Introduction to the 2nd morning session

Introduction to the 3rd morning session

Litter detection from Super-Resolved Remote Sensing data

Machine Learning Techniques For Automatic Detection Of Xylella Fastidiosa In Vhr Hyperspectral And Thermal Data

Machine learning techniques for predicting grapevine and olive water status through Sentinel 2 and PlanetScope multispectral imagery

Modelling the Xylella transmission, building up an effective IPM strategy

Models for the spread and control of invasive species

Nanotechnology and Circular Plant Protection

On-off intermittency in a host-parasitoid model with a deterministic chaotic driver

Optimal spatiotemporal resource allocation for the control of Ailanthus altissima in Alta Murgia National Park

Point clouds based studies for Forests’ Monitoring

Predators As A Possible Strategy For Controlling A Xylella Fastidiosa Epidemic - Part I

Prevention and control of OQDS outbreaks caused by Xylellla fastidiosa. Part II

Real-Time On-Board Detection by Using SAR-Based Machine Learning Techniques

Salinity Properties Retrieval from Sentinel-2 Satellite Data and Machine Learning Algorithms.

The Tebaka project: a remote sensing platform for precision farming

Welcome

Wildfire susceptibility estimation: an explainable artificial intelligence approach

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05/07/2023

06/07/2023

07/07/2023

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