Giuseppe ALTIERI

Associate Research Professor

Università degli Studi di Napoli Federico II

Italy

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Giuseppe ALTIERI is an Associate Research Professor at Università degli Studi della Basilicata, Italy. His research focuses on precision agriculture, including the use of portable NIR spectroscopy and machine learning for crop ripeness classification and health assessment. His recent publications explore innovative technologies in food safety and crop management, emphasizing sustainable practices and non-destructive pest detection methods.

Giuseppe ALTIERI

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Articles (19)

Portable NIR Spectroscopy Combined with Machine Learning for Kiwi Ripeness Classification: An Approach to Precision Farming

Development of a Short-Range Multispectral Camera Calibration Method for Geometric Image Correction and Health Assessment of Baby Crops in Greenhouses

Advances in Sustainable Crop Management: Integrating Precision Agriculture and Proximal Sensing

Simulation of Different Control Strategies of a Three-Phase Induction Motor Coupled to a Real Decanter Centrifuge for Olive Oil Extraction Focusing on Energy Saving

Impact of the Pre-Harvest Biocontrol Agent and Post-Harvest Massive Modified Atmosphere Packaging Application on Organic Table Grape (cv. ‘Allison’) Quality during Storage

Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety

Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Correlation Models

A Method for Multispectral Images Alignment at Different Heights on the Crop

Effect of Dielectric Barrier Discharge Cold Plasma on the Bio-nanocomposite Film and its Potential to Preserve the Quality of Strawberry under Modified Atmosphere Packaging

Deformation and bruising investigation of the olive fruit in a rotary hand-held olive harvester

Recent advances in the potential of modeling and simulation to assess the performance of modified atmosphere packaging (MAP) systems for the fresh agricultural product: Challenges and development

A novel breathable package system to improve the fresh fig (Ficus carica L. ‘Dottato’) shelf life

Impact of diet supplemented with microencapsulated condensed tannins on cow milk nutritional profile

Potential of finite element method to optimize the olive harvester machine (hand-held rotary harvester)

Potential of low frequency dielectric spectroscopy and machine learning methods for extra virgin olive oils discrimination based on the olive cultivar and ripening stage

Prediction of CO2 and ethylene produced in-packaged apricot under cold plasma treatment by machine learning approach

A Low-Temperature and Low-Pressure Distillation Plant for Dairy Wastewater

Use of wavelength interaction terms to improve near infrared spectroscopy models of donkey milk properties

Postharvest Technologies of Fresh Citrus Fruit: Advances and Recent Developments for the Loss Reduction during Handling and Storage

Collaborators (4)

Mohammad Amin Mohammadifar

Aberham Hailu Feyissa

Alex Shenfield

FRANCESCO GENOVESE

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