Léo Pichon

ORCID: 0000-0001-9522-2682
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About
Contact & Profiles
Research Areas
  • Horticultural and Viticultural Research
  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Soil Geostatistics and Mapping
  • Plant Water Relations and Carbon Dynamics
  • Soil erosion and sediment transport
  • Smart Agriculture and AI
  • 3D Surveying and Cultural Heritage
  • Wine Industry and Tourism
  • Spectroscopy and Chemometric Analyses
  • Land Use and Ecosystem Services
  • Fermentation and Sensory Analysis
  • Plant Surface Properties and Treatments
  • Leaf Properties and Growth Measurement
  • Bluetooth and Wireless Communication Technologies
  • Data-Driven Disease Surveillance
  • Remote-Sensing Image Classification
  • Indoor and Outdoor Localization Technologies
  • Experimental Learning in Engineering
  • Greenhouse Technology and Climate Control
  • Climate change impacts on agriculture
  • Agricultural Innovations and Practices
  • Innovative Teaching Methods
  • Rangeland Management and Livestock Ecology
  • Digital Platforms and Economics

Institut Agro Montpellier
2016-2025

Ingénierie des Agropolymères et Technologies Emergentes
2016-2025

ITAP - Technologies et Méthodes pour les Agricultures de demain
2016-2024

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2023

Université de Montpellier
2018-2023

Institut de l'Environnement et Recherches Agricoles
2015-2021

L'Institut Agro
2020

The University of Sydney
2009

This dataset contains three key indicators of vine water status: shoot growth index (iG-Apex), predawn leaf potential (Ψpd), and carbon isotope ratio (δ13C). Additionally, it includes weather data soil measurements. Spatial files studied fields, plots, some vines' locations are also provided. The were collected from a rain-fed vineyard in Southern France, 4 km north the Mediterranean Sea. Measurements made at plot level, with each consisting 10 adjacent grapevines (Vitis Vinifera). iG-Apex...

10.1016/j.dib.2025.111295 article EN cc-by Data in Brief 2025-01-23

The world we live in is an increasingly spatial and temporal data-rich environment, agriculture no exception. However, data needs to be processed order first get information then make informed management decisions. concepts of ‘Precision Agriculture’ ‘Smart are will fully effective when methods tools available practitioners support this transformation. An open-source software called GeoFIS has been designed with objective. It was cover the whole process from decision support. purpose paper...

10.3390/agriculture8060073 article EN cc-by Agriculture 2018-05-30

This paper demonstrates the application of near infrared diffuse reflectance spectroscopy (NIR-DRS) measurements as part digital soil mapping. We also investigate whether calibration functions developed from a spectral library can be used for rapid characterisation properties in field. Soil samples were collected along 24 toposequences Pokolbin irrigation district, ~7 km2 predominantly agricultural land Hunter Valley, NSW, Australia. at 2 depths: 0–0.10 and 0.40–0.50 m collected. The scanned...

10.1071/sr09005 article EN Soil Research 2009-01-01

Aims: This work aims to study the quality of low cost Digital Surface Models (DSMs) obtained with Unmanned Aerial Vehicle (UAV) images and test whether these DSMs meet common requirements wine industry.Methods results: Experiments were carried out on a 4-ha vineyard located 10 km north Beziers (France). The experimental site presents slope aspect variations representative mechanised commercial vineyards in Languedoc Roussillon. provided by three UAV companies selected for diversity their...

10.20870/oeno-one.2016.50.3.1177 article EN cc-by OENO One 2016-09-30

Monitoring vine water status is crucial for wine production. However, in Mediterranean regions, a key indicator evaluating this information, predawn leaf potential (Ψpd), challenging to obtain terms of logistics and costs. To address this, the iG-Apex, plant growth index based on shoot observations has been proposed as being both low-cost easy collect. It found that strong correlation exists between iG-Apex Ψpd. Nonetheless, relationship Ψpd becomes increasingly uncertain growing season...

10.1016/j.agwat.2024.108998 article EN cc-by-nc-nd Agricultural Water Management 2024-08-14

In vineyard management, the monitoring of vine water status is great importance, because this variable influences harvest quality, yield and, in longer term, sustainability. Numerous tools and methods have been proposed to monitor status, but they often involve use costly complex equipment can be logistically demanding. Methods based on observation shoot growth are interesting potential alternatives, simple carry out therefore potentially better adapted for production vineyards. However,...

10.20870/oeno-one.2023.57.1.5481 article EN cc-by OENO One 2023-02-28

Aim: The objective of this short communication is to study the opportunity using a smartphone application for leaf area index (LAI) observations within vineyards in southern France farmsourcing context, i.e. when several operators make parallel acquisitions over same area. In sources variability are likely affect measurement quality, such as model or operator. Understanding these will enhance ability properly interpret LAI produce relevant information decision-making.Methods and material: A...

10.20870/oeno-one.2020.54.1.2481 article EN cc-by OENO One 2020-03-10

The main aim of this study was to use Empirical mapping test the efficiency local low cost wireless network sensors (LPWAN - Low-Power Wide Area Network) before being applied in real wine-growing conditions. second obtain information on communication distances be expected from a LPWAN, taking into account specific needs and conditions vineyard. A hand-held autonomous end-device specifically built simulate short messages sent by via locally designed LPWAN. This device used quality different...

10.20870/oeno-one.2021.55.2.3102 article EN cc-by OENO One 2021-05-25

<p style="text-align: justify;"><strong>Aims:</strong> This work aims to study the quality of low cost Digital Surface Models (DSMs) obtained with Unmanned Aerial Vehicle (UAV) images and test whether these DSMs meet common requirements wine industry.</p><p justify;"><strong>Methods results: </strong>Experiments were carried out on a 4-ha vineyard located 10 km north Beziers (France). The experimental site presents slope aspect variations...

10.20870/oeno-one.2016.50.4.1177 article EN cc-by OENO One 2016-09-30

The observation of apex growth is a simple method that was introduced to monitor the existence hydric constraints in vineyard (Rodriguez Lovelle et al., 2009; De Toda 2010). Based on direct each plot, it represents particularly interesting approach for wine sector because easy implement and inexpensive (Saurin 2014). However, despite its advantages, has own implementation limits hinder acceptance broader use amongst winegrowing professionals. One principle limitations need note memorize...

10.20870/ives-tr.2020.3558 article EN cc-by IVES Technical Reviews vine and wine 2020-06-05

Monitoring vine water status is a major challenge for vineyard management because it influences both yield and harvest quality. It also at the regional scale identifying periods of high-water restriction or zones regularly impacted by stress changes these impacts over years. This information interesting defining collective strategies, anticipating logistic issues applying irrigation authorisation. At this spatial scale, existing tools methods monitoring are few often require strong...

10.20870/oeno-one.2022.56.2.5442 article EN cc-by OENO One 2022-06-24
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