LEONARDO CONTI

Associate Professor

University of Florence

Italy

Research Interests

Explore related searches

Professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Leonardo Conti is an Associate Professor at the University of Florence, Italy. His research primarily focuses on agricultural technologies and sustainability, encompassing areas such as remote sensing, machine learning applications in agriculture, and the analysis of terraced agricultural systems. Recent publications include investigations into vegetation indices for coffee crops and the economic viability of grape production with different agricultural practices.

Articles (18)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (4)

Giuseppe Rossi

Associate Professor

University of Florence

ITALY

View details

Gianluca BAMBI

University of Florence

ITALY

View details

Daniele Sarri

University of Florence

ITALY

View details

Francesco Piras

University of Florence

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

LEONARDO CONTI

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Agricultural Terraced Areas in the Tuscan Archipelago (Italy): Mapping, Consistency, and Territorial Analysis

Electronic Playback Devices to Reduce Ungulates’ Attendance in an Olive Grove Farm in the Province of Florence (Italy)

Detection of Coffee Leaf Miner Using RGB Aerial Imagery and Machine Learning

UAV-Based Vegetation Indices to Evaluate Coffee Crop Response after Transplanting Seedlings Grown in Different Containers

Use of Images Obtained by Remotely Piloted Aircraft and Random Forest for the Detection of Leaf Miner (Leucoptera coffeella) in Newly Planted Coffee Trees

Remote Monitoring of Coffee Leaf Miner Infestation Using Machine Learning

Investigating Polylactic Acid Foam–Plant Fiber Composites for Sound Absorption and Insulation

Machine Learning and Conventional Methods for Reference Evapotranspiration Estimation Using Limited-Climatic-Data Scenarios

Economic Viability and Quality of Grapes Produced with and without Plastic Covering

Evaluation of Coffee Plants Transplanted to an Area with Surface and Deep Liming Based on Multispectral Indices Acquired Using Unmanned Aerial Vehicles

Overlap influence in images obtained by an unmanned aerial vehicle on a digital terrain model of altimetric precision

Terraced landscapes of the Shouf Biosphere Reserve (Lebanon): analysis of geomorphological variables

Analysis of the Rook (<em>Corvus frugilegus</em>) wintering population in the Friuli Venezia Giulia region (Italy) using maximum entropy models

Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System

Adapted Use of the TRIZ System Operator

Application of RGB Images Obtained by UAV in Coffee Farming

Monitoring Errors of Semi-Mechanized Coffee Planting by Remotely Piloted Aircraft

Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop

Collaborators (4)

Giuseppe Rossi

Gianluca BAMBI

Daniele Sarri

Francesco Piras

Make your next move.