bruno tisseyre

About bruno tisseyre

bruno tisseyre, With an exceptional h-index of 30 and a recent h-index of 22 (since 2020), a distinguished researcher at Montpellier SupAgro, specializes in the field of agriculture de precision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Operational sampling designs for poorly accessible areas based on a multi-objective optimization method

Mapping grape production parameters with low-cost vehicle tracking devices

Why make inverse modeling and which methods to use in agriculture? A review

High spatial resolution dataset of grapevine yield components at the within-field level

Designing relevant precision agriculture training courses for technical advisors

How to best compare remote sensing data versus proximal sensing data?

A novel approach for field sampling optimization incorporating a generic operational cost constraint

Vers une cartographie régionale de l’état hydrique de la vigne basée sur des observations collaboratives: Article prenant sa source de l’article de recherche “Towards a …

bruno tisseyre Information

University

Position

professeur agriculture de précision

Citations(all)

2964

Citations(since 2020)

1577

Cited By

1932

hIndex(all)

30

hIndex(since 2020)

22

i10Index(all)

75

i10Index(since 2020)

53

Email

University Profile Page

Google Scholar

bruno tisseyre Skills & Research Interests

agriculture de precision

Top articles of bruno tisseyre

Title

Journal

Author(s)

Publication Date

Operational sampling designs for poorly accessible areas based on a multi-objective optimization method

Geoderma

Maxime Dumont

Guilhem Brunel

Paul Tresson

Jérôme Nespoulous

Hassan Boukcim

...

2024/5/1

Mapping grape production parameters with low-cost vehicle tracking devices

Precision Agriculture

J-P Gras

S Moinard

Y Valloo

R Girardot

B Tisseyre

2024/3/2

Why make inverse modeling and which methods to use in agriculture? A review

Yulin Zhang

Léo Pichon

Sébastien Roux

Anne Pellegrino

Thierry Simonneau

...

2024/2/1

High spatial resolution dataset of grapevine yield components at the within-field level

Data in Brief

Baptiste Oger

Yulin Zhang

Jean-Philippe Gras

Yoann Valloo

Pauline Faure

...

2023/10/1

Designing relevant precision agriculture training courses for technical advisors

S Djafour

L Pichon

T Crestey

B Ploteau

B Tisseyre

2023/7/2

How to best compare remote sensing data versus proximal sensing data?

Yoann Valloo

Sébastien Payen

Antoine Cornault

Richard Vanrenterghem

Cécile Laurent

...

2023/7/27

A novel approach for field sampling optimization incorporating a generic operational cost constraint

M Dumont

G Brunel

B Oger

O Taugourdeau

H Boukcim

...

2023/7/27

Vers une cartographie régionale de l’état hydrique de la vigne basée sur des observations collaboratives: Article prenant sa source de l’article de recherche “Towards a …

IVES Technical Reviews, vine and wine

Léo Pichon

Guilhem Brunel

Yulin Zhang

Bruno Tisseyre

2023/4/25

How to better estimate bunch number at vineyard level?

OENO One

Baptiste Oger

Cécile Laurent

Philippe Vismara

Bruno Tisseyre

2023/7/17

Introducing Bayesian priors to semi-variogram parameter estimation using fewer observations

Y Zhang

L Pichon

JA Taylor

B Oger

B Tisseyre

2023/7/27

Digital agriculture in Europe and in France: which organisations can boost adoption levels?

Crop and Pasture Science

Véronique Bellon-Maurel

Isabelle Piot-Lepetit

Nina Lachia

Bruno Tisseyre

2023/3/28

A statistical test to evaluate the relevance of auxiliary time series to predict another time series

B Oger

L Pichon

N Hilgert

B Tisseyre

2023/7/2

Experiences with teaching precision agriculture through reverse pedagogy

Basile Ploteau

Guilhem Brunel

Léo Pichon

Arnaud Ducanchez

Thomas Crestey

...

2023/7/27

Downscaling the APSIM crop model for simulation at the within-field scale

Agricultural Systems

Daniel Pasquel

Davide Cammarano

Sébastien Roux

Annamaria Castrignanò

Bruno Tisseyre

...

2023/12/1

Observation of shoot growth: a simple and operational decision-making tool for monitoring vine water status in the vineyard

OENO One

Léo Pichon

Cécile Laurent

Jean-Christophe Payan

Bruno Tisseyre

2023/2/28

A new metric to evaluate spatial crop model performances

D Pasquel

Sébastien Roux

B Tisseyre

JA Taylor

2023/7/2

A low cost sensor to improve surface irrigation management

Paul Vandome

Simon Moinard

G Brunel

Bruno Tisseyre

Crystèle Leauthaud

...

2023/7/27

Climatic records and within field data on yield and harvest quality over a whole vineyard estate

Data in Brief

Jean-Philippe Gras

Guilhem Brunel

Arnaud Ducanchez

Thomas Crestey

Bruno Tisseyre

2023/10/1

Adoption of precision agriculture across Europe: a case study on remote sensing

T Pavlenko

L Pichon

A Escolà

HW Griepentrog

F Marinello

...

2023/7/2

Mapping grape yield with low-cost vehicle tracking devices

JP Gras

S Moinard

T Crestey

B Tisseyre

2023/7/27

See List of Professors in bruno tisseyre University(Montpellier SupAgro)